Andrea Censi

Dr.
Andrea Censi
Principal Investigators

Andrea Censi is deputy director of the Dynamic Systems & Control chair. He obtained a Ph.D. from Caltech. Previously, he has been a research scientist at MIT and Director of Research at Aptiv Mobility (now Motional). He is president of the Duckietown Foundation.

Wissenschaftliche Publikationen

Published
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games
IEEE Robotics and Automation Letters
Vol 8 No 4 Pages 2293
Published
Enhancing Efficiency and Reliability of Electric Vehicles via Adaptive E-Gear Control
(ITCS) IEEE 26th International Conference on Intelligent Transportation Systems
Published
A Self-Contained Karma Economy for the Dynamic Allocation of Common Resources
Dynamic Games and Applications
Published
Factorization of Multi-Agent Sampling-Based Motion Planning
62nd IEEE Conference on Decision and Control
Published
Factorization of Dynamic Games over Spatio-Temporal Resources
35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Pages 13159 - 13166
Published
Task-driven modular co-design of vehicle control systems
2022 IEEE 61st Conference on Decision and Control (CDC)
Published
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions
IEEE Transactions on Network Science and Engineering
Pages 1-18
Published
Visual Confined-Space Navigation Using an Efficient Learned Bilinear Optic Flow Approximation for Insect-Scale Robots
35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Published
Categorification of Negative Information using Enrichment
5th Annual International Applied Category Theory Conference (ACT 2022)
Published
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games With Prioritized Metrics
IEEE Robotics and Automation Letters
Vol 7 No 2 Pages 1292-1299
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis
IEEE European Control Conference
Game Theoretical Motion Planning - Tutorial session
IEEE International Conference on Robotics and Automation (ICRA)
Published
Co-design of embodied intelligence: A structured approach
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages 7536-7543
Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria
IEEE Robotics and Automation Letters
Vol 6 No 3 Pages 4978 – 4985

Forschungsprojekte als Forscher/-in

Titel
Leitende Forscher/-innen

Dynamic population games for efficient autonomous mobility

Zusammenfassung

We will demonstrate that multiple competitive agents can efficiently share a mobility infrastructure without the need for an external coordinator. Standard game-theoretic approaches to this problem fall short in case of dynamic systems as encountered in autonomous mobility, coordinated use of the mobility space, traffic congestion control, etc.  We will develop a new mathematical formalism and computational methods blending the concept of game-theoretic and dynamic equilibria. Autonomous mobility is an important application due to the importance of fairness and efficiency in resource use, the large number of interacting agents, and the need for automated and scalable solutions.

Dynamic population games for efficient autonomous mobility

We will demonstrate that multiple competitive agents can efficiently share a mobility infrastructure without the need for an external coordinator. Standard game-theoretic approaches to this problem fall short in case of dynamic systems as encountered in autonomous mobility, coordinated use of the mobility space, traffic congestion control, etc.  We will develop a new mathematical formalism and computational methods blending the concept of game-theoretic and dynamic equilibria. Autonomous mobility is an important application due to the importance of fairness and efficiency in resource use, the large number of interacting agents, and the need for automated and scalable solutions.

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