Florence Nightingale Colloquium presents Javier Alonso Mora
- Friday 22 October 2021
- The seminar is targeted at a broad audience, in particular we invite master students, PhD candidates and supervisors interested or involved in the Data Science Research programme as well as colleagues from LIACS and MI to attend. The seminar is organized by the DSO, MI and LIACS.
- This will be a live event with lunch
- 174 Snellius Building
Motion Planning among Decision-Making Agents
We move towards an era of smart cities, where autonomous vehicles will provide on-demand transportation while making our streets safer and mobile robots will coexist with humans. The motion plan of mobile robots and autonomous vehicles must, therefore, account for the interaction with other agents and consider that they are, as well, decision-making entities that may cooperate. Towards this objective I will discuss several methods for motion planning and multi-robot coordination that leverage constrained optimization and reinforcement learning. The methods are of broad applicability, including autonomous vehicles, mobile manipulators and aerial vehicles.
Javier Alonso-Mora is an Associate Professor at the Department of Cognitive Robotics of the Delft University of Technology, the director of the Autonomous Multi-robots Laboratory and a Principal Investigator at the Amsterdam Institute for Advanced Metropolitan Solutions. Previously, he was a Postdoctoral Associate at the Computer Science and Artificial Intelligence Lab (CSAIL) of the Massachusetts Institute of Technology. He received his Ph.D. degree in robotics from ETH Zurich, in partnership with Disney Research Zurich. He serves as associate editor for the IEEE Robotics and Automation Letters, as associate editor for Springer Autonomous Robots, as the Publications Chair for the IEEE International Symposium on Multi-Robot and Multi-Agent Systems 2021 and as associate editor for ICRA, IROS and ICUAS. He is the recipient of several prizes and grants, including the ICRA Best Paper Award on Multi-robot Systems (2019), an Amazon Research Award (2019) and a talent scheme VENI award from the Netherlands Organisation for Scientific Research (2017).