Papers
8
Total Citations
176
H-Index
6
About
Dr. Qixin Wang is a leading researcher in robotics and cyber–physical systems (CPS), whose work bridges the gap between soft robotics, multi-robot coordination, and bio-inspired design. His most influential contributions include an experimental study comparing PID variants for pneumatic soft robots (52 citations), which has become a key reference for model-free control in inherently safe human–robot interaction. Dr. Wang has also made seminal advances in formation control and tracking for networked surveillance robots with multiple physical constraints (46 citations), addressing the complex kinodynamic challenges of CPS. His distributed multirobot formation and tracking control in cluttered environments (23 citations) further demonstrates his ability to solve real-world coordination problems with non-holonomic constraints. More recently, Dr. Wang has ventured into bio-inspired robotics, optimizing body wave control for multi-joint robotic fish using deep reinforcement learning (8 citations) and developing wire-driven robotic fish based on a double sine mechanism (5 citations). His work on quadcopter swarms for active smog monitoring (2 citations) showcases his commitment to applying CPS principles to environmental challenges. With over 170 citations across his portfolio, Dr. Wang’s research continues to shape the future of autonomous, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Development of a Wire-Driven Robotic Fish Based on Double Sine Mechanism5 citations · 2025
- 8A quadcopter swarm for active monitoring of smog propagation2 citations · 2015