About

Ansi Peng is a robotics researcher whose work spans rehabilitation engineering, mobile robot design, and human-robot interaction. Over more than a decade of research, Peng has made significant contributions to two primary domains: wearable exoskeleton systems for medical rehabilitation and adaptive mobile robot platforms. Peng's most influential work focuses on lower limb exoskeleton robots designed to assist elderly individuals and stroke patients with walking dysfunction. A 2013 paper on flexible exoskeleton design (13 citations) laid foundational groundwork in this area, while more recent research from 2024 advances the field by generating individualized gait trajectories clinically validated for stroke rehabilitation (10 citations), addressing the critical challenge of personalizing recovery pathways. Complementary work on Extended Kalman Filter-based state estimation further refines exoskeleton safety and precision. Beyond rehabilitation, Peng has demonstrated versatility through innovations in mobile robotics, including a wheel-track transformation robot capable of navigating both smooth and rugged terrains (7 citations), a tumbler-inspired wheeled robot with self-stabilizing characteristics, and autonomous wall-following navigation strategies. A 2018 contribution exploring compliant manipulation learning from force demonstrations (6 citations) reflects Peng's broader interest in making robots adaptable to unstructured, human-centered environments. Collectively, Peng's portfolio reflects a consistent commitment to building robots that serve human needs across healthcare and real-world operational contexts.

Research Focus

Key Achievements

4
H-Index
8
Papers
47
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Flexible design of a wearable lower limb exoskeleton robot
13 citations · 2013
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Shenzhen Institute of Information Technology, Chinese Academy of Sciences, Chinese University of Hong Kong, Shenzhen Institutes of Advanced Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago