Head of the lab Contact
Dr. Javier Alonso-Mora is an Associate Professor at the Cognitive Robotics department of the Delft University of Technology , where he leads the Autonomous Multi-robots Laboratory . He is a Principal Investigator at the Amsterdam Institute for Advanced Metropolitan Solutions ( AMS Institute) and co-founder of The Routing Company . He is actively involved in the Delft robotics ecosystem, including the Robotics Institute, the Transportation Institute and Robovalley.
Before joining TU Delft, Dr. Alonso-Mora was a Postdoctoral Associate at the Computer Science and Artificial Intelligence Lab (CSAIL) of the Massachusetts Institute of Technology (MIT). He received his Ph.D. degree in robotics from ETH Zurich, where he worked in the Autonomous Systems Lab, and in partnership with Disney Research Zurich. Dr. Alonso-Mora holds a Diploma in Engineering and a Diploma in Mathematics from the Technical University of Barcelona ( UPC) , where he was part of the Interdisciplinary Higher Education Centre (CFIS) and the Robotics Institute (IRI).
His main research interests are in navigation, motion planning, learning and control of autonomous mobile robots, and teams thereof, that interact with other robots and humans in dynamic and uncertain environments. He is the recipient of multiple prizes and grants, including an ERC Starting Grant (2021), 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).
On-demand transport to improve how our cities move everyday Contact
HRI and Multi-robot task assignment Contact
Semantic Mapping in Dynamic Environments Contact
Safety analysis models for self-driving vehicles (Joint with Prof. M. Wang) Contact
(Multi-Agent) Learning and Planning for risk awareness Contact
Motion planning for multi-robot high-level scene reasoning Contact
I am working on methods for routing and fleet design having the application of on-demand last-mile logistics in mind. Contact
Mobile manipulation in dynamic environments Contact
Socially Compliant and Interactive Navigation for Mobile Manipulators in Human-centred Environments Contact
Robust motion planning and control for autonomous aerial vehicles (Main supervisor: L. Ferranti) Contact
Human-in-the-loop and Multi-Robot Autonomous Exploration for Search and Rescue Scenarios Contact
Game-theoretic motion planning for multi-agent interaction. Contact
Sampling-based MPC for motion planning of vessels in urban canals. Contact
Safe and efficient motion planning for autonomous vehicles in urban environments. Contact
My research focuses on probabilistic predictions of traffic participants in an environment surrounding an autonomous agent. Contact
Risk-aware motion planning for autonomous driving in urban scenarios. Contact
Intuitive motion planning for mobile manipulators in multi-agent settings. Contact
Working on multi agent cooperative task and motion planning. Contact
Efficient testing and reproducible modular software stacks for real robotics. Contact