Javier Alonso–Mora

About

Javier Alonso-Mora is a leading robotics researcher whose work spans multi-robot systems, motion planning, and autonomous navigation in dynamic environments. His research has fundamentally advanced how robots perceive, coordinate, and move safely among humans and other agents, with particular impact in collision avoidance, formation control, and multi-agent task assignment. Among his most influential contributions is his work on reciprocal collision avoidance, including extensions to non-holonomic and car-like robots, which have collectively attracted hundreds of citations and become foundational references in autonomous navigation. His constrained optimization frameworks for multi-robot formation control (291 citations) enable teams of aerial and ground robots to dynamically reshape formations while avoiding obstacles — a capability critical for real-world deployment. His probabilistic approaches address the inherent uncertainties of microair vehicle navigation (271 citations), while his model predictive contouring control methods (197 citations) tackle motion planning in unstructured human-populated spaces. Alonso-Mora has also made notable strides in multi-agent logistics, developing distributed auction algorithms and integrated task-and-path planning systems for warehouse-style pickup-and-delivery scenarios. His body of work, spanning over 1,700 cumulative citations across his top papers alone, reflects deep, sustained impact across both theoretical foundations and practical robotics applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Multi-robot formation control and object transport in dynamic environments via constrained optimization

   291 citations · 2017
2. 2
   Optimal Reciprocal Collision Avoidance for Multiple Non-Holonomic Robots

   278 citations · 2012
3. 3
   Chance-Constrained Collision Avoidance for MAVs in Dynamic Environments

   271 citations · 2019
4. 4
   Model Predictive Contouring Control for Collision Avoidance in Unstructured Dynamic Environments

   197 citations · 2019
5. 5
   Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery

   184 citations · 2021
6. 6
   Cooperative Collision Avoidance for Nonholonomic Robots

   173 citations · 2018
7. 7
   Real-Time Motion Planning for Aerial Videography With Dynamic Obstacle Avoidance and Viewpoint Optimization

   168 citations · 2017
8. 8
   Group-Based Distributed Auction Algorithms for Multi-Robot Task Assignment

   142 citations · 2022
9. 9
   Distributed multi-robot formation control in dynamic environments

   141 citations · 2018
10. 10
    Reciprocal collision avoidance for multiple car-like robots

    125 citations · 2012

Key Collaborators

Contact & Links