Peng Yuan

Harbin Engineering University, Ocean University of China

Papers

Total Citations

H-Index

About

Peng Yuan’s research career is defined by a deep commitment to advancing bio-inspired robotics and human-robot interaction. His foundational work on the “Motor driving leg design for bionic crab-like robot” (2002, 4 citations) established early principles for biomimetic locomotion, while his influential study “Periodicity Locomotion Control Based on Central Pattern Generator” (2006, 4 citations) pioneered the use of neurophysiological models—specifically a simplified Hodgkin-Huxley framework—to generate periodic gaits for walking robots. This CPG-based approach, applied to an octopod robot, offered a novel bridge between neuroscience and robotic control. More recently, Yuan addressed the challenges of collaborative robotics with his 2021 paper on “Dual-Loop Iterative Learning Control of Robot Manipulator for Human-Robot Cooperation” (2 citations), proposing a force-based iterative learning strategy that enables robots to adapt to repetitive human interactions by generating unknown desired trajectories from contact forces. Though his citation counts are modest, Yuan’s work demonstrates a consistent thread of innovation: translating biological principles into practical robotic systems. His contributions are particularly valuable for researchers exploring CPG-based locomotion and adaptive control in human-robot collaboration, offering foundational insights that continue to inform the next generation of intelligent, interactive machines.