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Seminars

Cabecera de página Seminarios Master robotica y automatizacion
  • 2026/27

    Diseño de sistemas de toma de decisiones biológicamente inspirados para control de robots

    Credits: 3 ETCS

    Date: 1st Term

    Schedule: Lunes o martes de 15:00 a 16:30 horas del 19 de octubre al 14 de diciembre

    Aula: To be determined

    Coordinator: Marcos Maroto Gómez

    Goals

    The seminar aims to teach participants how to develop autonomous robots with biologically inspired behaviors. To this end, it defines key concepts in decision-making using human behavior as a reference, exploring how such processes can be modeled mathematically and computationally and then applied to artificial agents.

    Some of the seminar's subgoals are:

    • Understand theories and models of behavior generation.
    • Learn strategies for translating theory into real-world robot control models.
    • Implement reinforcement learning strategies.
    • Understand how decisions are transformed into effective behaviors.

    Description

    Robots are becoming increasingly useful in a growing number of applications. However, as they begin to operate in more complex environments, they require behaviors that are more adaptively selected and executed in response to changes in the environment.

    In recent years, bio-inspiration has emerged as a way to improve the capabilities of artificial systems by emulating characteristics and functionalities found in humans and animals. To this end, computational models are developed that enable robots to perceive, make decisions, and act upon their environment to perform tasks effectively.

    This seminar aims to capitalize on this development to train students in the modeling and programming of autonomous agents with biologically inspired behavior.
     

    Requirements

    You must have a basic understanding of the following tools:

    • Python Programming
    • Linux Operating System - Ubuntu
    • Development Environment such as Visual Studio Code
    • ROS 2 Robot Control System

    Contents

    1. Basic Concepts: Bio-inspiration, Autonomy, and Intelligence in Robots
    2. Decision-Making Architectures
    3. Biologically Inspired Mechanisms and Models
    4. Reinforcement Learning
    5. Action and Expressiveness: Methods and Tools

    Training activities, methodology to be used, and tutoring system

    The course will combine theoretical classes with a strong emphasis on practical content. Student participation and proactive problem-solving will be encouraged through assigned activities and a project.

    Students will have access to 2 hours of weekly tutoring sessions, which are optional and available upon request.
     

    Evaluation system

    • Percentage weight of the final exam/test 20
    • Percentage weight of the rest of the assessment 80
  • 2025/26

    Simulación y Control de Robots con Simscape

    Credits: 3 ETCS

    Date: 2nd term

    Schedule: Fridays from January 30 to March 13, from 3:00 p.m. to 5:00 p.m.

    Cassroom: 7.2.J08

    Coordinator: L. Santiago Garrido Bullon

    Goals

    Modeling, simulating, and controlling robotic stations using the Matlab/Simulink/Simscape (SimRob) tool. This application has been developed using Matlab's Robotic System Toolbox and Simulink SimScape Multi-Body tool.

    Most Matlab applications related to robotics do not use the Simulink/Simscape environment in the design and simulation of the station. The proposed application attempts to use Simulink/Simscape resources for both the design of the station components and the simulation of the station itself.

    The simulation control, basically its inverse kinematics, has been developed with Matlab tools. The aim is to provide students with a user-friendly environment for designing and simulating the station, and Matlab tools for controlling it.
     

    Description

    • Introduction to Simscape Multibody. Examples: 1.1 Train 1.2 Cruise Control 1.3 Motor Speed 1.4 Motor Position 1.5 Suspension 1.6 Aircraft Pitch 1.7 Ball and Beam 1.8 Lead and Lag Networks.
    • Simrob Toolbox, Simscape Multibody, and Robotics Toolbox 2.1. Theory. Application of robotics theory to robot modeling and simulation in Simscape 2.2. Kinematics. Application to robot simulation in Simscape 2.3. Dynamics and control. Application to robot control in Simscape 2.4. Collisions. Application to the study of collisions between robots in Simscape.

    Requirements

    Knowledge of the following subjects or topics is assumed:

    • Matlab Programming
    • Recommended: Industrial Robotics

    Training activities, methodology to be used, and tutoring system

    Following the theoretical and practical parts of the course, analysis and implementation assignments are proposed. Assessment is based on continuous assessment, implementations, and reports submitted.
     

    Evaluation system

    • Percentage weight of the final exam/test 0
    • Percentage weight of the rest of the assessment 100

    Continuous Assessment Calendar  
     

    Basic bibliography

    • Collins, Jack, et Al. A Review of Physics Simulators for Robotic Applications. IEEE Access. 2021
    • Ivaldi, Serena, et Al. Tools for simulating humanoid robot dynamics: a survey based on user feedback. 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2014). 2014
    • Joseph, Lentin. Mastering ROS for robotics programming. Packt Publishing Ltd. 2015
    • Newman, Wyatt. A Systematic Approach to Learning Robot Programming with ROS. CRC Press. 2017
    • Rosen Diankov and James Kuffner. OpenRAVE: A Planning Architecture for Autonomous Robotics. Tech Report CMU-RI-TR-08-34. Robotics Institute, Carnegie Mellon University. 2008

    Electronic Resources *

    Complementary bibliography

    • Eckel, Bruce. Thinking in C++ (2nd edition). Prentice Hall. 2000

    (*) Access to some electronic resources may be restricted to members of the university community through validation on the global campus. If you are outside the University, set up a VPN

  • 2021/22

    Innovation and Entrepreneurship in Robotics

    Credits: 3 ETCS
     

    Speaker:

    Francisco Cuéllar Córdova, Profesor Titular de la Pontificia Universidad Católica del Perú (PUCP); CEO 4HELIX LABS; Director Maestría en Ingeniería de Control y Automatización; Coordinador Grupo de Innovación Tecnológica (GIT - PUCP).
     

    Overall objectives:​

    The principal objective is for the students to strengthen capacities in the fields of entrepreneurship and innovation. The specific objectives are:

    • Increase the knowledge of students and faculty of UC3M in aspects of entrepreneurship and innovation.
    • Prepare proposals to obtain funding in entrepreneurship and innovation, with emphasis on robotics.

    Dates: May 9 to 13, 2022
     

    Schedule: from 10:30 am to 1:30 pm
     

    Classroom: 2.0.C05
     

    Language: Spanish
     

    Topics:

    • Monday 9: Ecosistema de Innovación (3 hours)
    • Tuesday 10: Deep Tech Startups (3 hours)
    • Wednesday 11: Diseño de la Propuesta de Valor (3 hours)
    • Thursday 12: Lienzo del Modelo de Negocios (3 hours)
    • Friday 13: Financiamiento para Startups (3 hours)

    The ShanghAI Lectures

    ECTS: 3 credits

    Dates: October 28, 2021 to December 16, 2021. 8 sessions

    Schedule: Thursday, from 9:00 a.m. to 11:00 a.m.

    Classrooms:

    • 28/10/2021 │ Classroom 3.S1.08
    • 04/11/2021 │ Classroom 3.S1.08
    • 11/11/2021 │ Classroom 3.S1.08
    • 18/11/2021 │ Classroom 3.S1.08
    • 25/11/2021 │ Main Halls (Auditorium)
    • 2/12/2021 │ Classroom 3.S1.08
    • 09/12/2021 │ Classroom 3.S1.08
    • 16/12/2021 │ Classroom 3.S1.08

    Workload: 6 hours of seminars. An estimated workload of 60 hours is foreseen for the students.

    Web: The ShanghAI Lectures

    Summary​:

    While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

    Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

    The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

    This lecture series, consisting of 8 videoconference sessions of two hours, focuses on the concepts of 'Embodied/Enactive Intelligence' in natural and artificial systems and the 'New Robotics' made possible by pursuing this knowledge. Other topics that can be touched include Machine Learning, Deep Learning, or Internet of Things, among others. Each session will consist on one lecture plus one guest lecture from leading researchers.

    The ShanghAI Lectures 2021 will take place from October 28th to December 16th, 2021. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

    The ShanghAI Lectures project aims at:

    • Building a sustainable community of students and researchers in the area of Embodied Intelligence
    • Making education and knowledge on cutting-edge scientific topics accessible to everyone
    • Exploring novel methods of knowledge transfer
    • Overcoming the complexity of a multi-cultural and interdisciplinary learning context, bringing global teaching to a new level

    We believe that global teaching can be a fantastic tool to create an intercultural discourse to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

  • 2020/21

    The ShanghAI Lectures 2020

    Classrooms: Online

    Schedule: Thursdays from 9:30 to 11:00 (8 Thursdays) from 22 October to 17 December 2020

    ECTS: 6 credits

    Summary:

    While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

    Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

    The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

    This lecture series, consisting of 8 videoconference sessions of one hour and a half (including a short break), provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). Each lecture will include one or two guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences.

    The ShanghAI Lectures 2020 will take place from October 22nd to December 17th, 2020. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

    Underlying goals of the ShanghAI Lectures project:

    • Make education and knowledge on cutting-edge scientific topics accessible to everyone.
    • Explore novel methods of knowledge transfer.
    • Build a sustainable community of students and researchers in the area of Embodied Intelligence.
    • Overcome the complexity of a multi-cultural and interdisciplinary learning context bring global teaching to a new level.

    We believe that global teaching can be a fantastic tool to create an intercultural discourse to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

  • 2019/20

    Herramientas, metodologías y métricas para impulsar tu investigación

    Credits: 3 ETCS

    Dates and Classrooms:

    • Mondays 10,17, 24 February, 2 ,9, 16, 23 March | CLASSROOM 2.2.C.04
    • 2 April | CLASSROOM 1.1.G03

    Schedule: 2 pm to 4 pm

    Speaker: Fernando Alonso Martín - Universidad Carlos III de Madrid

    Description:
    En este seminario se pretende que el alumno aprenda cómo funciona el sistema científico, esto es, como buscar y recopilar información, estructurarla, crear nuevo valor, y transmitir el nuevo conocimiento creado. El alumno aprenderá herramientas, estrategias, métricas y metodologías que le permitirán potenciar su carrera investigadora para ser más efectiva en un entorno muy competitivo.

    Innovation and Entrepreneurship in Robotics

    Credits: 3 ETCS
     

    Dates, times and classrooms:

    • 9, 10 and 11 March 2020: 9am to 1pm | CLASSROOM: 2.0.C05
    • 12 March 2020: 9am to 12pm | CLASSROOM: 2.0.C05

    Speaker:

    Francisco Cuéllar Córdova, Profesor Titular de la Pontificia Universidad Católica del Perú (PUCP); CEO 4HELIX LABS; Director Maestría en Ingeniería de Control y Automatización; Coordinador Grupo de Innovación Tecnológica (GIT - PUCP).
     

    Overall objectives:​

    The principal objective is to promote international collaboration between UC3M and PUCP in order to strengthen capacities in the fields of entrepreneurship and innovation. The specific objectives are:

    • Increase the knowledge of students and faculty of UC3M in aspects of entrepreneurship and innovation.
    • Prepare proposals to obtain funding in entrepreneurship and innovation, with emphasis on robotics.

    The ShanghAI Lectures 2019

    Classrooms:

    • 17-10-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)
    • 31-10-2019 Aula de Grados del Padre Soler
    • 07-11-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)
    • 21-11-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)
    • 28-11-2019 Sala de videoconferencia 1.1.J12
    • 05-12-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)
    • 12-12-2019 Sala de videoconferencia 1.1.J12
    • 19-12-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)

    Schedule: Jueves de 9:00 a 11:00 horas (8 jueves)

    ECTS: 6 credits

    Summary:

    While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

    Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

    The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

    This lecture series, consisting of 8 videoconference sessions of one hour and a half (including a short break), provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). Each lecture will include one or two guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences.

    The ShanghAI Lectures 2019 will take place from October 17th to December 19th, 2019. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

    Underlying goals of the ShanghAI Lectures project:

    • Make education and knowledge on cutting-edge scientific topics accessible to everyone.
    • Explore novel methods of knowledge transfer.
    • Build a sustainable community of students and researchers in the area of Embodied Intelligence.
    • Overcome the complexity of a multi-cultural and interdisciplinary learning context bring global teaching to a new level.

    We believe that global teaching can be a fantastic tool to create an intercultural discourse to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

  • Previous Years
    • 2018/19

      Screw Theory for Robotics

      Aula: 1.0.B01

      Profesor: Jose Manuel PARDOS-GOTOR, PhD

      Calendario: 8-15-22 de feb y 1-8-15-22 de marzo

      Horario: De 17:00 a 19:00 horas

      ECTS: 3 créditos

      Resumen:
      Este curso ofrece una formación desde los conceptos básicos hasta simulaciones y aplicaciones de la teoría de tornillos (Screws) que es especialmente atractivo para estudiantes e investigadores en Robótica, ingeniería mecánica o matemáticas aplicadas.
      Esta teoría proporciona una representación global y geométrica de la mecánica de un manipulador que simplifica enormemente el análisis y parametrización para la robótica. La gran ventaja es que las ecuaciones de movimiento resultantes son muy fáciles de tratar, como consecuencia de que la primitiva matemática básica es la matriz exponencial. Así se pueden obtener soluciones geométricas cerradas para la cinemática inversa de robots con muchos grados de libertad, o para varios robots cooperando en tareas de manipulación, sin tener que recurrir a soluciones numéricas. En definitiva, en este seminario se adquieren la habilidades para desarrollar soluciones y aplicaciones mucho más eficientes y eficaces para la CINEMÁTICA de robots, puesto que se pueden plantear algoritmos con soluciones exactas para problemas que habitualmente se abordan con aproximaciones se optimización.

      Contenidos:

      • Introducción a la teoría de Tornillos (Screw Theory): “Twist” y Coordenadas Exponenciales (propiedades, beneficios, rotaciones y traslaciones)
      • El Producto de Exponenciales (POE – Product Of Exponentials): la representación canónica de una cinemática.
      • Solución del Problema Cinemático DIRECTO con POE: planteamiento y ejemplos de aplicación en robótica (e.g. PUMA, STANFORD, ABB IRB 120, ABB IRB 6620LX, ABB IRB 910SC, KUKA IIWA).
      • Solución del Problema Cinemático INVERSO con POE: planteamiento, problemas canónicos y ejemplos de aplicación en robótica (e.g. PUMA, STANFORD, ABB IRB 120, ABB IRB 6620LX, ABB IRB 910SC, KUKA IIWA).
      • Simulación MATLAB, SIMULINK, SIMSCAPE: ejemplos de aplicación en robótica (e.g. ABB IRB 120, ABB IRB 6620LX, ABB IRB 910SC, KUKA IIWA).
      • Cinemática Diferencial y el Jacobiano Geométrico: la descripción geométrica de las velocidades del robot.
      • GitHub repository: Toolbox ST24R, ejercicios y software.

      Se espera demostrar que la abstracción ahorra tiempo a largo plazo en las aplicaciones de robótica, a cambio de una inversión inicial de esfuerzo y paciencia en el aprendizaje de estas matemáticas, con el objetivo de proporcionar a los estudiantes nuevas herramientas para abordar sus trabajos de investigación en robótica con unos fundamentos más elegantes y potentes.

      IROS2018. International Conference on Intelligent Robots and Systems

      Créditos:
      1 ETCS

      Fechas:
      1-5 de octubre de 2018

      Horario:
      De 9:00 a 18:30 horas

      Profesora Coordinadora:
      Dolores Blanco

      ➥ www.iros2018.org

    • 2017/18

      Introducción a Robot Operating System (ROS) - 2º Cuatrimestre

      Créditos:
      3 ETCS

      Fechas:
      Viernes 2, 9, 16 y 23 de marzo de 2018

      Horario:
      De 17:00 a 21:00 horas

      Aula:
      Aula informática. 4.S.D01

      Ponentes:
      Alonso Martín, Fernando (TEORÍA) - Universidad Carlos III de Madrid
      Gamboa Montero, Juan José (PRÁCTICA) - Universidad Carlos III de Madrid
      Marqués Villarroya (PRÁCTICA) - Universidad Carlos III de Madrid

      Descripción:
      Se enseñarán  los conceptos conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu.

      Requisitos:
      Es necesario traer el ordenador portátil a clase con Ubuntu y ROS instalado. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos. Los siguientes enlaces ayudan a cumplir con los requisitos:

      1. 1º Instalar Ubuntu en una máquina virtual

        - Usando VMWare: [video explicativo]

        - Usando VirtualBox: [video explicativo]
         
      2. 2º Instalar ROS en Ubuntu: [video explicativo]
         
      3. 3º Primeros pasos con ROS: [video explicativo]

      Screw Theory for Robotics

      Aulas:

      • Jueves 8 de febrero de 2018 Aula 4.0.E04
      • Viernes 9 de febrero de 2018 Aula 4.0.E06
      • Jueves15 de febrero de 2018 Aula 4.0.E04
      • Jueves 22 de febrero de 2018 Aula 4.0.E04
      • Jueves 1 de marzo de 2018 Aula 4.0.E04
      • Jueves 8 de marzo de 2018 Aula 4.0.E04
      • Jueves 15 de marzo de 2018 Aula 4.0.E04
      • Jueves 22 de marzo de 2018 Aula 4.0.E04

      Horario: De 17:00 a 19:00 horas

      ECTS: 3 créditos

      Resumen:Este curso ofrece una visión general de los conceptos básicos y algunas aplicaciones de la teoría de tornillos (Screws) que será especialmente atractivo para estudiantes e investigadores en robótica y campos relacionados, ingeniería mecánica o matemáticas aplicadas.
      Esta teoría proporciona una representación global y geométrica de la mecánica de un manipulador que simplifica enormemente el análisis y parametrización para la robótica. La gran ventaja es que las ecuaciones de movimiento resultantes son muy fáciles de tratar, como consecuencia de que la primitiva matemática básica es la matriz exponencial. Así se pueden obtener soluciones geométricas cerradas para la cinemática inversa de robots con muchos grados de libertad, o para varios robots cooperando en tareas de manipulación, sin tener que recurrir a soluciones numéricas.

      Contenidos:

      • Introducción a la teoría de Tornillos (Screw Theory): “Twist” y Coordenadas Exponenciales (propiedades, beneficios, rotaciones y traslaciones).
      • El Producto de Exponenciales (POE – Product Of Exponentials): la representación canónica de una cinemática.
      • Solución del Problema Cinemático DIRECTO con POE: planteamiento y ejemplos de aplicación en robótica.
      • Solución del Problema Cinemático INVERSO con POE: planteamiento, problemas canónicos y ejemplos de aplicación en robótica.
      • SIMULACIONES (Simscape) del robot ABB IRB120: análisis de resultados y comparación de EFICACIA y EFICIENCIA frente a otros algoritmos y soluciones numéricas.

      Se espera demostrar que la abstracción ahorra tiempo a largo plazo en las aplicaciones de robótica, a cambio de una inversión inicial de esfuerzo y paciencia en el aprendizaje de estas matemáticas, con el objetivo de proporcionar a los estudiantes nuevas herramientas para abordar sus trabajos de investigación en robótica con más eficacia y eficiencia.

      Introducción a Robot Operating System (ROS)

      Créditos:
      3 ETCS

      Fechas, horarios y aulas:

      • 10 de noviembre 2017 de 11h - 15h  (Aula informática 4.S.D.03)
      • 17 de noviembre 2017 de 11h - 15h  (Aula informática 4.S.D.03)
      • 24 de noviembre 2017 de 11h - 15h  (Aula informática 4.S.D.03)
      • 01 de diciembre  2017 de 11h - 15h  (Aula informática 4.S.D.01)

      Ponentes:
      Fernando Alonso Martín (TEORÍA) (Universidad Carlos III de Madrid)
      Juan José Gamboa Montero (PRÁCTICA) (Universidad Carlos III de Madrid)
      Sara Marqués Villarroya (PRÁCTICA( (Universidad Carlos III de Madrid)

      Descripción:
      Se enseñarán los conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu.

      Requisitos:
      Es necesario traer el ordenador portátil a clase con Ubuntu y ROS instalado. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos. Los siguientes enlaces ayudan a cumplir con los requisitos:

      1º Instalar Ubuntu en una máquina virtual
      - Usando VMWare:
      https://www.dropbox.com/s/fybdng1wdto5dgy/Instalar%20Ubuntu%2014.04%20en%20VMware-.mov?dl=0

      - Usando VirtualBox:
      https://www.dropbox.com/s/wsb9vmvoeinkvt1/Instalar%20Ubuntu%2014.04%20en%20VirtualBox.mov?dl=0

      2º Instalar ROS en Ubuntu:
      https://www.dropbox.com/s/od8h91u8wv1e7po/instalando_ROS.mov?dl=0

      3º Primeros pasos con ROS:
      https://www.dropbox.com/s/4ihouro1ke45h6d/Primeros%20pasos%20con%20ROS.mov?dl=0

      The ShanghAI Lectures 2017

      Aulas:

      • 26-10-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 02-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 09-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 16-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 23-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 30-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 07-12-2017 Videoconferencia
      • 14-12-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)

      Horario: Jueves de 9:30 a 11:00 horas (8 jueves)

      ECTS: 6 créditos

      Resumen:While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

      Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

      The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

      This lecture series, consisting of 8 videoconference sessions of one hour and a half (including a short break), provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). Each lecture will include one or two guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences.

      The ShanghAI Lectures 2017 will take place from October 26th to December 14th, 2017. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

      Underlying goals of the ShanghAI Lectures project:

      • Make education and knowledge on cutting-edge scientific topics accessible to everyone.
      • Explore novel methods of knowledge transfer.
      • Build a sustainable community of students and researchers in the area of Embodied Intelligence.
      • Overcome the complexity of a multi-cultural and interdisciplinary learning context bring global teaching to a new level.

      We believe that global teaching can be a fantastic tool to create an intercultural discourse to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

    • 2016/17

      Introducción a Robot Operating System (ROS) - 2nd Semester

      Créditos:
      3 ETCS

      Fechas, horarios y aulas:

      • Jueves 23 de Marzo de 17h a 21h (Aula Informática 1.1.G01)
      • Jueves 6 de Abril de 17 a 21h (Aula Informática 1.1.G03)
      • Jueves 20 de Abril de 17 a 21h (Aula Informática 1.1.G03)
      • Jueves 27 de Abril de 17 a 21h (Aula Informática 1.1.G03)

      Ponente:
      Fernando Alonso Martín
      Universidad Carlos III de Madrid

      Descripción:
      Se enseñarán los conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu. Es probable que sea necesario traerse el ordenador portátil a clase. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos.

      Introduction to Robotics simulators

      Idioma:
      Español (con posibilidad de transparencias en inglés)

      Créditos:
      3 ETCS

      Fechas y aulas:

      • Viernes 31 de Marzo de 2017 (Aula 1.0.C01)
      • Viernes 7 de Abril de 2017 (Aula 1.0.C01)
      • Viernes 21 de Abril de 2017 (Aula 1.0.C01)
      • Viernes 28 de Abril de 2017 (Aula 1.0.C01)

      Horario:
      De 17:00 a 21:00 horas

      Ponente:
      Juan González Víctores
      Universidad Carlos III de Madrid

      Juan González Víctores es Profesor Ayudante Doctor en el Departamento de Ingeniería de Sistemas y Automática desde Sept 2015. Sus líneas de investigación se centran en la robótica asistencial (generalización de acciones e imaginación en robots en XGNTIVE, percepción y manipulación de objetos deformables en TEXTILES) y robótica en la construcción (reciente proyecto europeo ROBO-SPECT), concretándose en más de 50 publicaciones de ámbito científico y de transferencia tecnológica. En su trabajo mantiene una estrecha relacion con simuladores de roótica para cada una de sus líneas.

      Descripción:
      Se familiarizará a los alumnos con los simuladores de robótica más utilizados en la actualidad. Se estudiarán los componentes que forman estos simuladores, como los motores gráficos, motores físicos, e infraestructuras de comunicaciones. El enfoque será práctico y orientado a la función que realiza la simulación dentro del desarrollo de aplicaciones reales. Los alumnos implementarán controladores que se conectan a robots simulados para ejecutar tareas preprogramadas y distintos comportamientos. Se evaluará en torno a entregables orientados a un aspecto específico simulado: prevención de colisiones, planificación de trayectorias, agarre para la manipulación, cómputo de alcance cinemático...

      Place classification and location systems in indoor environments for mobile robots

      Idioma:
      Las presentaciones serán en español con transparencias en inglés.

      Créditos:
      3 ETCS

      Fechas y aulas:

      • Viernes 10 de Marzo de 2017 (Aula 1.0.C01)
      • Jueves 16 de Marzo de 2017 (Aula 1.0.F02)
      • Viernes 17 de Marzo de 2017 (Aula 1.0.C01)
      • Viernes 24 de Marzo de 2017 (Aula 1.0.C01)

      Horario:
      De 17:00 a 21:00 horas

      Ponente:

      Oscar Martinez Mozos
      Laboratorio de Inteligencia Ambiental
      Universidad Politecnica de Cartagena

      Oscar is a Senior Research Fellow (Ramon y Cajal) and part-time Lecturer at Technical University of Cartagena (UPCT), Spain. Before joining UPCT he was a senior lecturer at the University of Lincoln, UK. Previously, he was a JSPS researcher at Kyushu University, Japan. He received my PhD in Computer Science from the University of Freiburg, Germany. He is originally from Spain.

      Oscar is member of the research group Electronic Design and Signal Processing (DETCP) at UPCT. He is also a collaborative researcher at Kurazume Lab, Kyushu University, Japan.

      His research includes sensor perception, machine learning and artificial intelligence applied to solve problems in different areas such as robotics, bioengineering, ambient assisted living, and quality of life technologies.

       

      Luis Moreno
      RoboticsLab
      UC3M

      Luis Moreno is Full Professor at Polytechnic School of Univ. Carlos III de Madrid. His research is focused on Mobile manipulators, light robots, advanced actuators, mobile robots, path planning. He has participate in more than 40 research projects with public funding and 12 project with private funding. (SPAMUS project is an international European Union project to develop an active suit based on smart actuators to help astronauts in spatial missions, o Robohealth project is focused on the development of exoskeletons for the rehabilitation of shoulder-arm-hand based on advanced actuators and HYPER Project focus on neurorobotic (NR) and motor neuroprosthetic (MNP) devices in close cooperation with the human body, both for rehabilitation and functional compensation of motor disorders in activities of daily living.

       

      Ismael García Vara
      Laboratorio de Sistemas Informáticos
      Universidad de Castilla la Mancha

      Ismael García is Associate Professor at Univ. Castilla La Mancha. His research topic are related to semanitic localization systems. His main works include: Spatial Statistical Analysis for the Design of Indoor Particle Filter based Localization Mechanisms, comparison between Bayesian network classifiers and SVMs for semantic localization and scene classification based on semantic labeling, M. LexToMap: lexical-based topological mapping.

       

      Descripción:

      Primera sesión (Viernes 10 de Marzo). Ponente: Oscar Martínez Mozos

      • Introducción al problema de clasificación de lugares y sus aplicaciones a entornos cerrados (robótica de servicios) y entornos exteriores (coches autónomos)
      • Categorización de entornos usando machine learning: modelos discriminativos (máquinas de soporte vectorial, SMVs), metaclasificadores (Adaboost), y deep learning (convolutional neural networks, CNNs)
      • Discusión sobre problemas típicos que aparecen durante un problema de clasificación como puede ser overfitting, outliers,etc..
      • Métodos de evaluación de los clasificadores,
      • Aplicación a diferentes sensores: laser 2D, imágenes, kinect, y senores 3D (Laser, Velodyne, FARO).
         

      Segunda sesión (Jueves 16 de Marzo). Ponente: Luis Moreno

      • Diferenciación del problema de navegación local y global.
      • Diferenciación de los sistemas de tracking frente a los planificados.
      • Métodos de deterministas de localización inicial y resolución de ambigüedad.
      • Métodos probabilístico o Bayesianos.  (Ponente: Luis Moreno).
         

      Tercera sesión (Viernes 17 de Marzo)

      • Sistemas de localización semánticos.
      • Análisis estadístico espacial para el diseño de mecanismos de localización basados en filtros de partículas en interiores.
      • Clasificación de escenas basada en el etiquetado semántico.
      • Comparación entre clasificadores bayesianos de red y SVMs para localización semántica.
         

      Cuarta sesión (Viernes 24 de Marzo): Luis Moreno, Oscar Martínez, Ismael García

      • Comparativa de los modelos de representación de la información.
      • Integración de información topológica, semántica, geométrica.

      Aerial Surveying: Tools and methods

      Idioma:
      Inglés

      Créditos:
      3 ETCS

      Fechas y aulas:

      • 13 de enero 2017 (Aula 1.0B01)
      • 20 de enero 2017 (Aula informática INF 1.2.G02)
      • 27 de enero 2017 (Aula informática INF 1.2.G02)
      • 3 de febrero 2017 (Aula 1.0.B01)

      Horario:
      De 17:00 a 21:00 horas

      Ponente:
      João Valente
      Universidad Carlos III de Madrid

      Descripción:
      This course aims to teach the basics of aerial imaging and mosaicking with commercial quad-rotors. In particular, how to design an aerial mission planning and its principal components: Workspace sampling and path planner.

      Introducción a Robot Operating System (ROS)

      Créditos:
      3 ETCS

      Fechas, horarios y aulas:

      • 25 de noviembre 2016 de 11h -15h  (Aula informática 4.S.D03)
      • 2 de diciembre 2016 de 11h -15h  (Aula informática 4.S.D02)
      • 16 de diciembre 2016 de 10h -14h  (Aula informática 2.2.C03)
      • 21 de diciembre 2016 de 10h -14h (Aula informática 2.2.C03)

      Ponente:
      Fernando Alonso Martín
      Universidad Carlos III de Madrid

      Descripción:
      Se enseñarán los conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu. Es probable que sea necesario traerse el ordenador portátil a clase. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos.

      The ShanghAI Lectures 2016

      Aulas:

      • 20-10-2016 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 27-10-2016 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 03-11-2016 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 10-11-2016 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 17-11-2016 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 24-11-2016 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 01-12-2016 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 08-12-2016 Sala de video 3.1.S08 (Videoconferencia)
      • 15-12-2016 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)

      Horario: Jueves de 9:30 a 11:00 horas

      ECTS: 6 créditos

      Web: http://shanghailectures.org

      Resumen:
      While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

      Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

      The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

      This lecture series, consisting of 9 videoconference sessions of one hour and a half (including a short break), provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). Each lecture will include one or two guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences.

      The ShanghAI Lectures 2016 will take place from October 20th to December 15th, 2015. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

       

      Underlying goals of the ShanghAI Lectures project:

      • Make education and knowledge on cutting-edge scientific topics accessible to everyone.
      • Explore novel methods of knowledge transfer.
      • Build a sustainable community of students and researchers in the area of Embodied Intelligence.
      • Overcome the complexity of a multi-cultural and interdisciplinary learning context bring global teaching to a new level.

      We believe that global teaching can be a fantastic tool to create an intercultural discourse – to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

    • 2015/16

      Introducción a Robot Operating System (ROS) - 2º Cuatrimestre

      Créditos:
      3 ETCS

      Fechas:
      Jueves 17, 31 de Marzo y 7, 14 de Abril de 2016

      Horario:
      de 17:00 a 21:00 horas

      Aula: INF 2.2.C04 Dual (Edificio Sabatini)

      Ponente:
      Fernando Alonso Martín
      Universidad Carlos III de Madrid

      Descripción:
      Se enseñarán los conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu. Es probable que esa necesario traerse el ordenador portátil a clase. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos.

      Introducción a Robot Operating System (ROS)

      Créditos:
      3 ETCS

      Fechas:
      Jueves  15, 22, 29 de octubre y 5 de noviembre de 2015

      Horario:
      de 17:00 a 21:00 horas

      Aula: INF 2.2.C04 Dual (Edificio Sabatini)

      Ponente:
      Fernando Alonso Martín
      Universidad Carlos III de Madrid

      Descripción:
      Se enseñarán los conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu. Es probable que esa necesario traerse el ordenador portatil a clase. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos.

      The ShanghAI Lectures 2015

      Aulas:

      • 15-10-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 22-10-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 29-10-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 05-11-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 12-11-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 19-11-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 26-11-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 03-12-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 10-12-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 17-12-2015 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)

      Horario: Jueves de 9:00 a 11:00 horas

      ECTS: 6 créditos

      Web: http://shanghailectures.org

      Resumen:
      While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e., that intelligence is always a property of an entire organism. This idea has farreaching implications and often leads to surprising insights.

      This lecture series, consisting of 9 videoconference sessions of roughly two hours (including a short break) and a tenth session of about 3 hours, provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). They will include about twenty guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

      Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

      The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

      The ShanghAI Lectures 2015 will take place from October 15th to December 17th, 2015. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

      Underlying goals of the ShanghAI Lectures project:

      • Make education and knowledge on cutting-edge scientific topics accessible to everyone.
      • Explore novel methods of knowledge transfer.
      • Build a sustainable community of students and researchers in the area of Embodied Intelligence.
      • Overcome the complexity of a multi-cultural and interdisciplinary learning context bring global teaching to a new level.

      We believe that global teaching can be a fantastic tool to create an intercultural discourse – to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

    • 2014/15

      The ShanghAI Lectures 2014

      Aulas:

      • 23-10-2014 GETAFE sala 15.1.01
      • 30-10-2014 GETAFE sala 15.1.01.
      • 06-11-2014 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 13-11-2014 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 20-11-2014 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 27-11-2014 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 04-12-2014 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
      • 11-12-2014 GETAFE sala 15.1.01
      • 18-12-2014 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)

      Horario: Jueves de 9:00 a 11:00 horas

      ECTS: 6 créditos

      Web: http://shanghailectures.org

      Resumen:
      While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e., that intelligence is always a property of an entire organism. This idea has farreaching implications and often leads to surprising insights.

      This lecture series, consisting of 9 videoconference sessions of roughly two hours (including a short break) and a tenth session of about 3 hours, provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). They will include about twenty guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

      Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.
      The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

      The ShanghAI Lectures 2014 will take place from 23 October to 18 December 2014.

      Introducción a Robot Operating System (ROS)

      Créditos:
      3 ETCS

      Fechas:
      Viernes 6, 13, 20, 27 de Marzo, de 17:00 a 21:00

      Aula: 1.0.C02

      Ponente:
      Fernando Alonso Martín
      Universidad Carlos III de Madrid

      Descripción:
      Se enseñarán los conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu y será necesario traerse el ordenador portátil a clase. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos.

      Prototipado rápido y uso de impresoras 3D

      Duración: 12h, dividas en 6 sesiones de 2 horas.

      Créditos ECTS: 2

      Fechas: Jueves de 17h a 19h, desde 05/Marzo/2015 al 23/Abril/2015.

      Aula: 1.0.C02

      Profesores
      Raúl Pérula-Martínez
      Juan Miguel García Haro

      Descripción
      En este seminario se proporcionarán los conocimientos necesarios para poder diseñar piezas que puedan ser posteriormente impresas usando impresoras 3D.
      El seminario se centrará en la utilización de las herramientas de diseño Open Source para el diseño de las piezas y en el correcto manejo de las impresoras 3D.
      Asimismo las piezas serán fabricadas utilizando una impresora 3D del parque de impresoras.
      Al final del seminario los estudiantes deberán realizar un proyecto que consistirá en crear un prototipo nuevo e imprimir las piezas usando una impresora 3D.

      Programa
      • Sesión 1 (05/03/2015).

      •  Introducción al seminario.
      •  Impresoras 3D: modelos y avances. Formación operadores.

      • Sesión 2 (12/03/2015).

      •  Diseño de piezas con herramientas Open Source (Introducción OpenScad. Parte 1).

      • Sesión 3 (26/03/2015).

      •  Diseño de piezas con herramientas Open Source (Introducción OpenScad. Parte 2).

      • Sesión 4 (09/04/2015).

      •  Printbots: Robots imprimibles.

      • Sesión 5 (16/04/2015).

      •  Proyecto final. Trabajo en aula.

      • Sesión 6 (23/04/2015).

      •  Presentación de los proyectos.

      Proyecto final
      Como requisito indispensable para aprobar el seminario los alumnos deberán haber impreso al menos 5 piezas en las impresoras 3D y publicar todos sus diseños propios en la web Thingiverse.

      Percepción semántica en entornos interiores para robots de servicios. (Indoors semantic perception for service robots)

      Créditos: 1ETCS

      Fechas:
      Jueves 7 de Mayo, de 17:00 a 19:00
      Viernes 8 de Mayo, de 17:00 a 19:00

      Aula: 1.0.C02

      Descripción:

      • Primera sesión (Jueves 7 de Mayo): Introducción general al problema de clasificación. Definición de vectores de características. Introducción a  diferentes tipos de clasificadores incluyendo Naive Bayes, Support Vector Machine (SVM), Adaboost, y Nearest Neibourgh. Evaluación de los resultados usando matrices de confusion y curvas (ROC, precision-recall, etc..). Discusión sobre problemas típicos que aparecen durante un problema de clasificación como puede ser overfitting, outliers, etc...
      • Segunda sesión (Viernes 8 de Mayo): Aplicación de los métodos previous para percepción en robots. Presentación de investigación referida a clasificación de lugares (con láser, imágenes RGB y cámara kinect), detección de personas en 2D y 3D, y clasificación de objetos en nubes de puntos 3D. Todo ello relacionado con interpretación sensorial y etiquetado semántico en entornos de interiores.
      • Las presentaciones serán en español con transparencias en inglés.


      Ponente
      Oscar Martinez Mozos
      School of Computer Science,
      University of Lincoln, UK

      Oscar Martinez is a Lecturer at the University of Lincoln, UK. Before joining Lincoln he was a researcher at Kyushu University, Japan. He received his PhD in Computer Science from the University of Freiburg, Germany.
      His research includes perception, machine learning, and bioengineering, amongst others. He is interested in the application of computer science to different areas such as service robotics, assistive technologies, and medicine.