Papers
66
Total Citations
1,789
H-Index
19
About
Danwei Wang is a distinguished robotics and control systems researcher whose work spans mobile robotics, intelligent control, and autonomous systems. Best known for his foundational contributions to wheeled mobile robot (WMR) dynamics, Wang's seminal 2008 paper on modeling skidding and slipping in WMRs—garnering 246 citations—provided the robotics community with a unifying framework that redefined how engineers approach real-world traction challenges. His GPS-based path following and tracking control papers further translated this theory into practical navigation solutions for car-like robots operating under non-ideal conditions. Beyond ground robotics, Wang made early and influential strides in intelligent control, developing iterative learning impedance control for robotic manipulators (167 citations) and pioneering fuzzy-reinforcement learning hybrids for obstacle avoidance (157 citations). His 2011 work on CPG-inspired quadruped locomotion (149 citations) demonstrated his breadth, drawing from neuroscience to engineer adaptive legged robots. More recently, Wang has turned his attention to multi-robot collaboration and autonomous perception, contributing novel frameworks for collaborative semantic mapping, multimodal sensor fusion, and LiDAR-thermal camera calibration. Together, his body of work reflects a career dedicated to bridging theoretical rigor with deployable autonomous systems—making him an essential reference for researchers in mobile robotics and intelligent control alike.
Research Focus
Key Achievements
Top Papers
- 1
- 2Learning impedance control for robotic manipulators167 citations · 1998
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10