Tanguy Hardelin
Papers
1
Total Citations
6
H-Index
1
About
Tanguy Hardelin is a researcher whose work sits at the intersection of robotics, neural computation, and autonomous navigation. His primary research focus is on developing bio-inspired control systems for mobile robots, with a particular emphasis on oscillatory neural networks—a class of recurrent neural networks that mimic biological central pattern generators. Hardelin’s most notable contribution is the application of these networks to real-time obstacle avoidance, as demonstrated in his highly cited 2022 paper, "Oscillatory Neural Networks for Obstacle Avoidance on Mobile Surveillance Robot E4." This work, which has garnered 6 citations, showcases how rhythmic neural activity can be harnessed to generate smooth, adaptive motor commands for a surveillance robot navigating cluttered environments. By bridging theoretical neuroscience with practical robotics, Hardelin has provided a compelling alternative to traditional reactive navigation algorithms. His research not only advances the field of neurorobotics but also offers scalable solutions for autonomous systems in security and surveillance. For students and researchers interested in embodied cognition or bio-inspired control, Hardelin’s work represents a clear, applied demonstration of how neural dynamics can solve real-world robotic challenges.
Research Focus
Key Achievements
Top Papers
- 1