Papers

2

Total Citations

5

H-Index

2

About

Pei-Yu Yang is a rising researcher at the intersection of rehabilitation robotics and bipedal locomotion, whose work bridges clinical stroke recovery and cutting-edge mechanical design. Yang’s primary research areas include robot-assisted gait training for neurological rehabilitation and the generative design of heavy-duty humanoid robots. In a 2021 study, Yang demonstrated the clinical efficacy of a novel robot-assisted gait training system for acute stroke patients, contributing preliminary evidence that such technology may serve as a supplementary strategy in traditional rehabilitation—a finding with 3 citations that underscores its relevance in the ongoing search for more effective post-stroke therapies. Building on this clinical insight, Yang’s 2022 work introduced XingT, a human-sized, heavy-duty bipedal robot featuring a non-coaxial five-link leg structure designed for low inertia and high load capacity. With 2 citations, this generative design addresses critical needs in disabled assistance, transportation, and rescue operations. By integrating kinematic modeling with bionic principles, Yang’s contributions offer a compelling vision of robots that are both clinically useful and physically robust, marking an important step toward practical, real-world deployment of assistive robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Clinical Efficacy of a New Robot-assisted Gait Training System for Acute Stroke Patients
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: China Medical University, Beijing Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago