Papers
8
Total Citations
111
H-Index
5
About
Lihong Xu is a pioneering researcher in robotics and intelligent control systems, with a primary focus on mobile robot navigation, adaptive control, and bio-inspired robotic design. Her work bridges classical optimization techniques and modern learning-based approaches, making significant contributions to autonomous path planning and rehabilitation robotics. Her most cited paper (37 citations) introduces a hybrid genetic algorithm and modified simulated annealing algorithm for global path planning, demonstrating a novel approach to overcoming slow convergence in mobile robot navigation. She further advanced trajectory tracking through adaptive fuzzy control systems, addressing the complex nonholonomic constraints of differential drive robots. Notably, her research on the RUPERT IV rehabilitation robotic device (21 citations) combines PID feedback with iterative learning control to assist stroke patients in passive reaching tasks, showcasing her impact on medical robotics. Xu has also explored robotic fish locomotion, developing frameworks for steady turning motion, and behavior-based fuzzy control for cleaning robots in dynamic environments. Her recent work on self-supervised exploration for generalizable agents (2025) signals a shift toward learning-based autonomy. With over 100 total citations, Xu’s interdisciplinary research continues to influence autonomous systems, rehabilitation technology, and environmental monitoring applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Adaptive fuzzy control for trajectory tracking of Mobile Robot28 citations · 2010
- 3Adaptive Iterative Learning Control design for RUPERT IV21 citations · 2008
- 4A framework for modeling steady turning of robotic fish11 citations · 2009
- 5
- 6
- 7Learning generalizable agents via self-supervised exploration2 citations · 2025
- 8A flexible-resolution 3D laser scanning method based on DSP2 citations · 2008