Dr. Javier Alonso-Mora, Assistant Professor

Autonomous Multi-Robots Lab. Delft University of Technology

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The goal of the Autonomous Multi-Robots Laboratory at the Delft University of Technology is to develop novel methods for navigation, motion planning, learning and control of autonomous mobile robots, with a special emphasis on multi-robot systems, on-demand transportation and robots that interact with other robots and humans in dynamic and uncertain environments. Building towards the smart cities of the future, our applications include self-driving vehicles, mobile manipulators, micro-aerial vehicles, last-mile logistics and ride-sharing.
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Latest News

- 10.2020: Two new journal papers in Transpormetrica A and Transportation Research Part C on unreliability in shared mobility on demand! --> Read more.
- 05.2020: We have one PhD vacancy on "Learning of socially compliant motion planning for autonomous vehicles" [info and application].
- 03.2020: ICRA paper on Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments [PDF], [video].
- 12.2019: We have been awarded the H2020 project "SAFE-UP" on safety for autonomous cars and the NWO Water project "Trilogy" on autonomous vessels.
- 11.2019: Three new journal papers in PNAS, RA-L and T-IV on motion planning for autonomous vehicles! --> Read more.
- 11.2019: Three new papers in on fleet sizing and shared mobility on demand! --> Read more.
- 06.2019: We won the IEEE ICRA Best Paper Award in Multi-Robot Systems [PDF] [video]!! Congrats Hai, Jelle and Laura!

Research highlights

On-demand High-capacity Ride-sharing Formation Control and Manipulation
Trajectory Generation for Aerial Videography Trajectory Generation for Automated Cars
Pixelbots: A Display Formed by Mobile Pixels Collision Avoidance for Aerial vehicles
Human-Swarm Interaction (Interactive Display) Reciprocal Collision Avoidance NH-ORCA

Bio and 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) and co-founder of Routable AI . 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 interest is in navigation, motion planning and control of autonomous mobile robots, with a special emphasis on multi-robot systems, on-demand transportation and robots that interact with other robots and humans in dynamic and uncertain environments. He has published over 60 papers in premier venues and his work has appeared in major media outlets. He is the recipient of multiple 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).

Dr. Javier Alonso-Mora
Associate Professor

Department of Cognitive Robotics (CoR)
Faculty of Mechanical, Maritime and Materials Engineering (3mE)
Delft University of Technology
Mekelweg 2, Room F-2-320
2628 CD Delft, Netherlands
Phone: +31 152 785 489
Website: www.alonsomora.com
Email: j.alonsomora(at)tudelft.nl
Alternative email: javier.alonsomora(at)gmail.com