
Dr. J. (Javier) Alonso Mora
Dr. J. (Javier) Alonso Mora
Profile
Biography
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 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 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).
Research
I lead the Autonomous Multi-Robots Laboratory. For up-to-date information see:
www.autonomousrobots.nl
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.
Expertise
Publications
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2023
A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians
S. Casao / Andrés Otero / A. Serra Gomez / Ana C. Murillo / J. Alonso Mora / Eduardo Montijano
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2023
Active Classification of Moving Targets With Learned Control Policies
Ălvaro Serra-GĂłmez / Eduardo Montijano / Wendelin Böhmer / Javier Alonso-Mora
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2023
Autotuning Symbolic Optimization Fabrics for Trajectory Generation
M. Spahn / J. Alonso Mora
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2023
Distributed Nonlinear Trajectory Optimization for Multi-Robot Motion Planning
Laura Ferranti / Lorenzo Lyons / Rudy R. Negenborn / Tamas Keviczky / Javier Alonso-Mora
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2023
Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms
Nils Wilde / Javier Alonso-Mora
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Media
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2022-03-18
ERC Consolidator Grants en ERC Starting Grant voor onderzoekers van de TU Delft
Appeared in: TU Delft
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2019-12-02
Systeem voorspelt persoonlijkheid van autobestuurders
Appeared in: NewScientist
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2017-07-27
4 Veni toekenningen voor onderzoek aan de TU Delft
Appeared in: TU Delft
Ancillary activities
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2022-01-03 - 2024-01-01
Transportation and storage
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2022-09-01 - 2024-08-30
Transportation and storage