DISC Summer School 2021: Planning, Learning and Control for Multi-Robot and Multi-Agent Systems (ONLINE)

The topic of the DISC Summer School 2021 is ""Planning, Learning and Control for Multi-Robot and Multi-Agent Systems”. The Summer School will take place in the week of June 7, 2021 and will be offered online

Invitation
Javier Alonso Mora, Ming Cao and Omur Arslan have the pleasure to invite you to participate in the DISC Summer School “Planning, Learning and Control for Multi-Robot and Multi-Agent Systems”, which is scheduled to take place online in the week of June 7. The invitation is aimed at PhD and research students, staff members, researchers and engineers engaged in the systems and control area. Distinguished speakers will present a series of tutorial lectures.

Scope
Since 1990, DISC has successfully organized yearly summer schools on various topics pertinent to theoretical and practical aspects of systems and control, with an international audience of about 40-60 participants. Together with the graduate course program that is maintained by DISC, the summer schools form part of the educational facilities that DISC offers to PhD students in systems theory and control engineering. The main goal of the summer schools is to familiarize young researchers with recent developments in systems and control as well as in neighboring disciplines, and to provide them with the opportunity to enjoy, in an informal atmosphere, discussions with top researchers in systems and control. The summer schools also provide an opportunity for DISC staff members and others to upgrade their knowledge of specific areas of interest.

Multi-robot and Multi-agent Systems
In the (near) future fleets of autonomous cars will coordinate to provide on-demand transportation while making our roads safer; mobile robots will coordinate in manufacturing and logistic processes; and teams of aerial robots will provide automated inspection and surveillance. These applications require novel methods and theoretical developments in the systems and control field that account for the interaction and coordination with other agents in complex environments.

In this summer school, we will present recent developments towards the endeavour of pervasive multi-robot and multi-agent systems. The lectures and tutorials will cover the concepts of communication-based coordination (consensus, distributed optimization and formation control), interaction (decision-making in multi-agent systems), motion planning and learning. The lectures contain both recent control theoretical development, as well as, application within the robotics field. Additional, we are hoping that this summer school will serve to partially bridge the gap between controls and AI research for multi-robot and multi-agent systems.

Lecturers
The main program will consist of a number of international and national speakers. The following lecturers have already confirmed:

  • Dimos Dimarogonas, KTH, Sweden
  • Jenjen Chung, ETH Zurich, CH
  • Dan Halperin, Tel Aviv University, IL
  • Vijay Kumar, University of Pennsylvania, USA (TENTATIVE)
  • Daniela Rus MIT, USA (TENTATIVE)
  • Frans Oliehoek, TU Delft, NL

Complemented by talks given by DISC lecturers:

  • Javier Alonso-Mora, TU Delft, NL
  • Bart Besselink, University of Groningen, NL
  • Sergio Grammatico, TU Delft, NL

The program will be available as soon as possible

Credits
More information about the credits will be available later

Fee
The registration fees will be determined later