Chung Hsieh
Papers
1
Total Citations
46
H-Index
1
About
Chung Hsieh’s research lies at the intersection of cooperative control, multi-agent systems, and biologically inspired robotics. His most cited work, “Virtual attractive-repulsive potentials for cooperative control of second order dynamic vehicles on the Caltech MVWT” (2005, 46 citations), introduces a motion planning method that draws from biological swarming models. By deriving a map between virtual attractive and repulsive potentials (VARP) and fan speeds for the Kelly vehicle on Caltech’s Multi-Vehicle Wireless Testbed, Hsieh demonstrated how second-order dynamic systems can achieve coordinated behavior without centralized control. This contribution has been foundational for researchers exploring decentralized swarm robotics and formation control. Hsieh’s work is notable for bridging theoretical models with practical implementation on physical testbeds, showcasing how bio-inspired principles can solve real-world coordination challenges. His research continues to influence the design of autonomous multi-vehicle systems, with applications ranging from drone swarms to distributed sensing networks.
Research Focus
Key Achievements
Top Papers
- 1