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Cabecera de página Seminarios Master Ciencia y Tecnología Informatica

Learning Technologies for Robot Autonomy through Imitation and Reinforcement (Roberto Martin-Martin)

Title: Learning Technologies for Robot Autonomy through Imitation and Reinforcement

Speaker: Roberto Martin-Martin, University of Texas at Austin

Date: to be confirmed (between the end of March and the end of May, 2025)

Place: classroom to be defined

Organizer: Fernando Fernández

Language: English

Seminar overview:

In this seminar, we will cover some of the fundamentals of machine learning applied to robotics including techniques such as Imitation Learning (supervised and self-supervised), Reinforcement Learning and the use of Foundation Models. We will have a brief overview of the basics of those techniques and a deep dive into their application in real-world robotic tasks. The seminar will also include some fundamentals of computer vision and their application to robotics and robot learning.

Short bio:

Roberto Martin-Martin is Assistant Professor of Computer Science at University of Texas at Austin. His research connects robotics, computer vision and machine learning. He studies and develops novel AI algorithms that enable robots to perform tasks in human uncontrolled environments such as homes and offices. In that endeavor, he creates novel decision-making solutions based on reinforcement learning, imitation learning, planning and control, and explores topics in robot-perception such as pose estimation and tracking, video prediction and parsing.

Martin-Martin received his Ph.D. from Berlin Institute of Technology (TUB) prior to a postdoctoral position at the Stanford Vision and Learning Lab under the supervision of Fei-Fei Li and Silvio Savarese. His work has been selected as RSS Best Systems Paper Award, RSS Pioneer, Winner of the Amazon Picking Challenge, and ICRA and IROS Best Paper Nominee. He is chair of the IEEE Technical Committee in Mobile Manipulation.

Introduction to SysML v2: foundations and applications (Ed Seidewitz)

Title: Introduction to SysML v2: foundations and applications

Speaker: Ed Seidewitz

Affiliation: Model Driven Solutions

Date: May 5 to 7, 2025 (to be confirmed)

Lugar: classroom to be defined

Organizer: Ana Granados

Language: English

Seminar overview:

This seminar provides a comprehensive introduction to Systems Modeling Language (SysML) version 2, focusing on its fundamental concepts and practical applications. Participants will gain an understanding of the core elements of SysML, including its syntax, semantics, and the improvements introduced in version 2.

The transformative role of generative AI systems: Redesigning tasks and reconfiguring skills (Giulio Jacucci)

Title: The transformative role of generative AI systems: Redesigning tasks and reconfiguring skills

Speaker: Giulio Jacucci, University of Helsinki

Date: week of March 3-7, 2025 (to be confirmed)

Lugar: classroom to be defined

Organizer: Andrea Bellucci

Speaker: English

Short bio: Giulio Jacucci