Xiafu Peng
Papers
16
Total Citations
448
H-Index
9
About
Xiafu Peng is a leading researcher in mobile robotics and intelligent control systems, whose work has fundamentally advanced autonomous navigation and visual servoing. With over 400 citations across his publications, Peng is best known for developing hybrid path planning algorithms that integrate safe A* search with adaptive window approaches, enabling mobile robots to navigate large-scale dynamic environments safely and efficiently. His seminal 2020 paper on this topic has garnered 226 citations, establishing a benchmark in the field. Peng has also made pioneering contributions to vision-based robotic control, creating robust Kalman-neural-network filtering schemes that allow manipulators to operate without calibration in unstructured environments. His work on velocity-change-space motion planning and adaptive obstacle detection using downward-looking 2D LiDAR has been instrumental in advancing outdoor robot navigation. Notably, Peng’s research extends to bio-inspired robotics, where he has modeled walking-gait parameters for quadruped robots, bridging the gap between biological locomotion and robotic design. His consistent focus on guaranteed robustness and performance in adaptive control systems has made him a key figure in developing reliable, real-world robotic solutions.
Research Focus
Key Achievements
Top Papers
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- 6Adaptive Neuro-Filtering Based Visual Servo Control of a Robotic Manipulator16 citations · 2019
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