Papers
16
Total Citations
87
H-Index
5
About
Patrick Bonnin’s research career is defined by a relentless focus on real-time vision systems for autonomous mobile robotics, with a particular emphasis on enabling robots to perceive and act in dynamic environments. His major contributions span the development of computationally efficient algorithms for color region segmentation, edge detection, and velocity field estimation, all optimized for embedded systems. Notably, his work on a parallel algorithm for 2D velocity field estimation achieved O(N) complexity, a breakthrough for real-time applications like robot navigation and trajectory matching. Bonnin’s impact is evident in his highly cited papers, including “Vision, Strategy, and Localization Using the Sony Robots at RoboCup-98” (15 citations) and “A Concept of Dynamically Reconfigurable Real-Time Vision System” (14 citations), which have shaped research in robotic perception. He also made notable contributions to the RoboCup Sony legged league, designing adaptive control architectures for soccer-playing robots. More recently, his evaluation methodology for low-cost devices like Raspberry Pi and Nvidia Jetson Nano (2022) has guided the implementation of perception systems in consumer robotics. Bonnin’s work bridges theory and practice, offering scalable solutions for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Vision, Strategy, and Localization Using the Sony Robots at RoboCup-9815 citations · 2000
- 2
- 3A parallel algorithm for a very fast 2D velocity field estimation10 citations · 2002
- 4
- 5Video rate color region segmentation for mobile robotic applications5 citations · 2005
- 6A Robust Edge-Based Corner Detector (EBCD)5 citations · 2014
- 7
- 8
- 9Temporally optimized edge segmentation for mobile robotics applications4 citations · 2005
- 10