Seminari de recerca del Dr. József Kövecses, McGill University, el 7 de juny
Sistema robòtic de l'Applied Dynamics Group

Seminari de recerca del Dr. József Kövecses, McGill University, el 7 de juny

El Dr. József Kövecses, director de l'Applied Dynamics Group, McGill University, farà un seminari a l'ETSEIB el proper divendres 7 de juny a les 10:30. El seminari és organitzat pel grup de recerca BIOMEC amb qui el Dr. Kövecses col·labora activament.

Informació del seminari:

Task and Information Driven Modelling of Mechanical Systems

József Kövecses and Albert Peiret

Department of Mechanical Engineering and Centre for Intelligent Machines
McGill University
Montreal, Quebec, Canada

New technologies require modelling approaches that provide interfacing possibilities to various model representations. In this work we present a modelling and analysis approach to provide insight into the behaviour of various types of mechanical systems and make the integration of different model representations possible. This starts from the broader interpretation of some main concepts of mechanical modelling, and leads to the possibility to establish task-driven models that can incorporate information about the physical behaviour of the system in various ways. We illustrate the material with several examples of different tasks that involves both physical systems in robotics and simulation-based virtual environments.

József Kövecses is Professor of Mechanical Engineering at McGill University in Montreal, Quebec, Canada. His main research interests are in the areas of modelling, dynamics, simulation, and control of mechanical systems. He has led numerous research projects in these areas, published extensively, and participated in the work of editorial boards and scientific committees of prestigious journals and conferences. He has received three best paper awards, and in 2018 he was presented with the Synergy Award for Innovation by the Governor General of Canada.

DATE AND LOCATION: Friday, June 7th at 10:30, Aula CREB, 4th floor, ETSEIB