Dr. Javier Alonso-Mora, Assistant Professor

Autonomous Multi-Robots Lab. Delft University of Technology

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Our main research interest is in navigation, motion planning and control of autonomous mobile robots and vehicles, with a special emphasis in multi-robot systems and robots/vehicles that interact with other robots/vehicles and humans in dynamic and uncertain environments. We contribute novel methods and solutions in the areas of motion planning, dynamic vehicle routing, multi-robot coordination, task assignment, aerial videography, formation control, collision avoidance and human-swarm interaction.

Building towards the smart cities of the future, we apply these techniques in various fields, including autonomous cars, automated factories, aerial vehicles and intelligent transportation systems with ride-sharing.

Our current research activities are:

Automated Mobility-on-Demand with Ride-sharing --> Read more
Autonomous Vehicles (Urban driving) --> Read more
Aerial Vehicles --> Read more
Mobile Manipulation --> Read more
Reactive Collision Avoidance --> Read more
Multi-robot Systems (Other) --> Read more
Other Projects --> Read more

Funding

Current

- NWO Talent Scheme VENI grant by the Netherlands Organisation for Scientific Research (NWO), 2017-2020.
- 3mE Cohesion funding, 2018-2019.
- AMS strategic funding by the Amsterdam Institute for Advanced Metropolitan Solutions (AMS), 2017-2018.
- NWO Take-Off Phase 1 grant in collaboration with Mainblades Inspection, 2018.

Past

At TU Delft:
- 3mE Cohesion funding, 2017-2018.

During my time at MIT (2014-2016) I was involved in the following projects:
- Parallel autonomy and autonomous cars, CSAIL-Toyota joint research effort.
- ONR SMart Adaptive Reliable Teams for Persistent Surveillance.
- Mobile robots on the factory floor, funded by The Boeing Company.
- Future Urban Mobility, Singapore MIT Alliance for Research and Technology (SMART FM).

During my time at ETH Zurich (2010-2014) my projects were funded by the Autonomous Systems Lab and Disney Research Zurich.