Seminarios Curso 2024-2025

Título: Introduction to SysML v2: foundations and applications

Ponente: Hans Peter de Koning

Afiliación: Model Driven Solutions

Sesiones: 

• 5 de mayo, de 9:00 a 13:00
• 6 de mayo, de 9:00 a 13:00
• 7 de mayo, de 9:00 a 11:00

Lugar: Aula 2.0.C03

Organizador: Ana Granados

Idioma: Inglés

Resumen:

This seminar provides an introduction to version 2 of the OMG Systems Modeling Language (SysML v2, see https://www.omg.org/spec/SysML). It covers the fundamental semantic concepts as well as practical use as a textual and graphical modelling language in support of model-based systems engineering (MBSE). Participants will learn how to start applying SysML v2 to the engineering of complex systems, illustrated with some examples from the space domain. SysML v2 was designed from the ground up as a major step forward from SysML v1. It has a formal semantics foundation and standardized, extensible model libraries. It also comes with a standardized API and Services part for fine-grained, tool-independent data access. SysML v2 is currently in the last stage of formal adoption by OMG and is expected to be released as an official specification in the summer of 2025. There are already a large number of initial implementations in MBSE tools.

Breve biografía:

Hans Peter de Koning is an independent consultant (DEKonsult, Amsterdam, The Netherlands) specializing in the advancement of digital engineering standards, methods and tools. He graduated with an M.Sc. in Applied Physics from Delft University of Technology in 1984, after which he worked more than 40 years as an expert thermal, software and systems engineer. He worked mainly on space systems, first in industry and then more than 20 years at the European Space Agency (ESA).

Up to retirement from ESA by the end of 2019, he led the development and application of MBSE methods, tools and standards for ESA’s Concurrent Design Facility (https://www.esa.int/Enabling_Support/Space_Engineering_Technology/CDF) and space projects in general. He’s been a main author or contributor on many ISO, ECSS (European Space) and OMG engineering standards. Currently, in addition to consultancy work, he is a core member of the team developing SysML version 2 at OMG.

Título: Learning Technologies for Robot Autonomy through Imitation and Reinforcement

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

Sesiones: 

• 17 de Marzo, de 11:00 a 14:00
• 18 de Marzo, de 10:00 a 14:00
• 19 de Marzo, de 11:00 a 14:00

Lugar: Aula 2.0.C03

Organizador: Fernando Fernández

Idioma: Inglés

Resumen:

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.

Breve biografía:

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.

Título: Generative AI for Virtual Embodied Conversational Agents

Ponente: Giulio Jacucci, University of Helsinki

Sesiones:

• 5 de Marzo, de 10:00 a 14:00
• 6 de Marzo, de 10:00 a 13:00
• 7 de Marzo, de 10:00 a 13:00

Lugar: Aula 2.0.C03

Organizador: Andrea Bellucci

Idioma: Inglés

Resumen:

The workshop is designed to provide a comprehensive understanding of Embodied Conversational Agents (ECAs) and their integration into Virtual Reality (VR).

• Day 1 introduces participants to the fundamentals of VR and ECAs, covering hardware, development tools, and a practical "Hello World" exercise to familiarize them with basic setup and development.
• Day 2 dives into the theoretical foundations of ECAs, including key concepts such as embodiment, social presence, user experience (UX), ethics, and essential technologies like natural language processing (NLP) and computer vision. This day also includes a hands-on breakdown of ECA components.
• Day 3 focuses on building a basic ECA, emphasizing scene understanding, decision-making, and multimodal interactions. The teaching methods combine lectures to introduce theoretical concepts with hands-on workshops to develop practical skills.

Breve biografía: 

Giulio Jacucci PhD is Professor at the Department of Computer Science at the University of Helsinki. He has been Professor  at the Aalto University, Department of Design 2009-2010. His research  investigated mobile group media, public multitouch displays, augmented reality, and multimodal interaction. Contributions included intent modelling and visualization for search and recommendation, end user programming for ubicomp, sensor based behavior change. He has chaired ACM IUI and is part of the conference steering committee. Currently the research focuses on affective interaction in XR and context aware conversational systems. He is co-founder of several research spin offs and co-authored two patents in the area of information seeking and on modular screens.