Paul Beardsley
Walt Disney (United States), Walt Disney (Switzerland), University of Oxford
Papers
25
Total Citations
1,292
H-Index
17
About
Paul Beardsley is a leading figure in multi-robot systems, with a career defined by advancing how robots move, interact, and create. His core research spans collision avoidance, human-swarm interaction, and novel robotic applications. Beardsley’s most influential work lies in developing distributed, reciprocal collision avoidance algorithms for non-holonomic robots, such as his Optimal Reciprocal Collision Avoidance (ORCA) framework, which has garnered over 278 citations. He extended this to car-like and bike-like robots, enabling safe, decentralized navigation in dynamic environments. Beyond safety, Beardsley pioneered the use of robot swarms as interactive displays and artistic tools, where mobile robots serve as pixels to form patterns and animations—a concept that has attracted over 100 citations. His innovative spirit is further evidenced by the PaintCopter, an autonomous UAV for spray painting on 3D surfaces, and Skye, a spherical omnidirectional blimp. With over 1,000 total citations, Beardsley’s work not only solves fundamental problems in multi-robot coordination but also pushes the boundaries of what robot teams can achieve, from art to industrial inspection.
Research Focus
Key Achievements
Top Papers
- 1Optimal Reciprocal Collision Avoidance for Multiple Non-Holonomic Robots278 citations · 2012
- 2Cooperative Collision Avoidance for Nonholonomic Robots173 citations · 2018
- 3Reciprocal collision avoidance for multiple car-like robots125 citations · 2012
- 4Image and animation display with multiple mobile robots102 citations · 2012
- 5Multi-robot system for artistic pattern formation77 citations · 2011
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- 8Design and control of a spherical omnidirectional blimp56 citations · 2013
- 9Multi-Robot System for Artistic Pattern Formation56 citations · 2011
- 10Tree cavity inspection using aerial robots44 citations · 2016