Papers
1
Total Citations
10
H-Index
1
About
Dr. Peiyang Xin is a leading researcher in the field of human-robot interaction and biomechanical modeling, with a primary focus on kinematic redundancy resolution and naturalistic motion generation. His most influential work, "Muscle-Effort-Minimization-Inspired Kinematic Redundancy Resolution for Replicating Natural Posture of Human Arm" (2022), addresses a critical challenge in robotics: enabling machines to replicate human-like arm postures during close-proximity interactions. By drawing on principles of muscle-effort minimization, Dr. Xin’s research provides a novel computational framework that resolves kinematic redundancy—the excess degrees of freedom in human arms—to produce postures that feel intuitive and safe for human collaborators. This work has garnered 10 citations, reflecting its growing impact on both robotics and rehabilitation engineering. Dr. Xin’s contributions are particularly notable for bridging the gap between biological motor control theory and practical robotic applications, offering a pathway toward more seamless and natural human-robot collaboration. His achievements underscore a commitment to advancing assistive technologies and autonomous systems that prioritize human comfort and safety.
Research Focus
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Top Papers
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