4EU+ online seminars on "Artificial Intelligence Techniques, Applications, and Social Issues"
Multi-agent path finding: From warehouses to autonomous cars
11 March 2021 16:00 – 17:30 CET Link to online seminars: Zoom
Abstract
Multi-agent Path Finding (MAPF) deals with the problem of finding collision-free paths for a set of agents/robots moving in a shared environment. Applications may be found in various areas, including transportation robots in warehouses, taxiing at airports, or automated traffic junctions. The talk will present abstract models of the problem, survey existing solving approaches, and discuss some practical issues.
Short bio
Prof. Roman Bartak is a Professor of computer science at Charles University, Prague (Czech Republic). He received his PhD in Computer Science from Charles University in 1997. He has been Department Chair and Coordinator of graduate program Computer Science at Charles University, where he is currently Coordinator of study programs in Artificial Intelligence and Coordinator of the Doctoral program on Theoretical Computer Science and Artificial Intelligence. His research interests are in artificial intelligence, focusing on research in automated planning and scheduling, constraint satisfaction, and knowledge representation. He is a senior member of ACM and AAAI.

4EU+ online seminars on "Artificial Intelligence Techniques, Applications, and Social Issues"

Multi-agent path finding: From warehouses to autonomous cars

11 March 2021
16:00 – 17:30 CET

Link to online seminars: Zoom

Abstract

Multi-agent Path Finding (MAPF) deals with the problem of finding collision-free paths for a set of agents/robots moving in a shared environment. Applications may be found in various areas, including transportation robots in warehouses, taxiing at airports, or automated traffic junctions. The talk will present abstract models of the problem, survey existing solving approaches, and discuss some practical issues.

Short bio

Prof. Roman Bartak is a Professor of computer science at Charles University, Prague (Czech Republic). He received his PhD in Computer Science from Charles University in 1997.

He has been Department Chair and Coordinator of graduate program Computer Science at Charles University, where he is currently Coordinator of study programs in Artificial Intelligence and Coordinator of the Doctoral program on Theoretical Computer Science and Artificial Intelligence.

His research interests are in artificial intelligence, focusing on research in automated planning and scheduling, constraint satisfaction, and knowledge representation.

He is a senior member of ACM and AAAI.