Papers

13

Total Citations

85

H-Index

5

About

Dr. Jianxin Pang is a leading researcher in bipedal locomotion and humanoid robotics, whose work bridges the gap between theoretical control and real-world physical interaction. His primary research areas include robust locomotion control, disturbance rejection, and safe human-robot interaction, with a particular focus on enabling humanoid robots to navigate dynamic and unpredictable environments. Dr. Pang’s major contributions are exemplified by his most cited work, "Robust Locomotion Exploiting Multiple Balance Strategies" (23 citations), which introduced an observer-based cascaded model predictive control approach that seamlessly integrates ankle, stepping, hip, and height strategies for unparalleled balance recovery. He has further advanced the field with pioneering work on safe 3-D locomotion through constrained task-space imitation learning (13 citations) and the development of a lumbar-assisted exoskeleton for mixed lifting tasks (12 citations), demonstrating a commitment to both fundamental robotics and practical assistive technology. His recent research on sequential stepping and angular momentum optimization (9 citations) continues to push the boundaries of robust humanoid walking. With a portfolio that also includes real-time obstacle avoidance and whole-body control, Dr. Pang is shaping the future of agile, safe, and adaptive robotic systems.

Research Focus

Key Achievements

5
H-Index
13
Papers
85
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Robust Locomotion Exploiting Multiple Balance Strategies: An Observer-Based Cascaded Model Predictive Control Approach
23 citations · 2022
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Shenzhen Academy of Robotics, Omnitech Robotics (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago