Papers
4
Total Citations
25
H-Index
3
About
Pengpeng Xu is a leading researcher in rehabilitation robotics and human–robot interaction, with a focus on designing intelligent exoskeletons for upper limb recovery. Their work bridges mechanical design, control systems, and machine learning to create devices that are both effective and practical for clinical use. Notably, Xu developed a parallel cable-driven shoulder mechanism with series springs, achieving a lightweight, low-cost exoskeleton that enhances natural movement—a design cited 13 times for its innovation in assistive robotics. They also pioneered a deep reinforcement learning approach with shaped exploration space for robotic assembly, enabling industrial robots to perform contact-rich tasks with greater autonomy. Additionally, Xu’s research on sEMG-based torque estimation for elbow rehabilitation exoskeletons offers a novel human–computer interaction strategy, allowing torque prediction from muscle signals for more responsive therapy. Their recent work on hybrid upper limb exoskeletons, which optimizes human–robot interaction force, further underscores their commitment to user-centered design. With a growing citation impact, Xu’s contributions are advancing both rehabilitation technology and intelligent manufacturing, making them a key figure in the next generation of assistive robotics.
Research Focus
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Top Papers
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