Papers
7
Total Citations
164
H-Index
5
About
Xiaohai Li is a robotics researcher whose work spans mobile robot formation control, autonomous navigation, and robotics education. His most influential contributions lie in the domain of multi-robot systems, where he pioneered a Cartesian coordinate-based kinematic model for leader-follower formation control of nonholonomic mobile robots — a departure from the polar coordinate approaches prevalent in earlier literature. This modeling innovation enabled the derivation of globally stable controllers using backstepping techniques and the direct Lyapunov method, work that has collectively garnered over 125 citations across three closely related publications from 2005. Beyond formation control, Li extended his expertise to robot-sensor network integration, developing an adaptive signal power gradient approach that enables mobile robots to autonomously locate unknown sensors — earning 22 citations and demonstrating practical relevance in dynamic environments. His subsequent research explored topological and signal-strength-based navigation strategies within wireless sensor networks. More recently, Li has contributed to robotics pedagogy, publishing peer-reviewed work on transforming undergraduate robotics courses for online delivery using the TASKS model. His career reflects a consistent focus on bridging rigorous control theory with real-world autonomous systems applications and effective engineering education.
Research Focus
Key Achievements
Top Papers
- 1Backstepping based multiple mobile robots formation control62 citations · 2005
- 2
- 3
- 4Modeling and Controller Design for Multiple Mobile Robots Formation Control18 citations · 2005
- 5Online robotics technology course design by balancing workload and affect11 citations · 2022
- 6Topological navigation of mobile robot in a wireless sensor network2 citations · 2011
- 7