Anthony Thompson
Papers
1
Total Citations
5
H-Index
1
About
Anthony Thompson is a leading researcher in bio-inspired robotics and nonlinear control systems, with a focus on multi-agent coordination and underwater locomotion. His most influential work, "Planar Formation Control of a School of Robotic Fish: Theory and Experiments" (2021), introduces a novel nonlinear control design that stabilizes parallel and circular motion in robotic fish actuated by internal reaction wheels. By modeling the swimming dynamics through the canonical Chaplygin sleigh framework, Thompson bridges theoretical mechanics with practical robotics, enabling precise formation control without external communication. This breakthrough has garnered 5 citations and is foundational for autonomous underwater swarms. His contributions extend to experimental validation, demonstrating real-world feasibility in laboratory settings. Thompson’s work is pivotal for applications in environmental monitoring, search-and-rescue, and marine exploration, where coordinated robotic fish can operate efficiently in complex fluid environments. His research exemplifies the synergy between classical mechanics and modern robotics, inspiring new directions in decentralized control and bio-mimetic design.
Research Focus
Key Achievements
Top Papers
- 1