Hanqi Zhu

The University of Texas at Dallas

Papers

2

Total Citations

50

H-Index

2

About

Hanqi Zhu is a leading researcher in biomechatronics and assistive robotics, with a primary focus on the design and intelligent control of lower-limb prostheses and exoskeletons. His most cited work, "Design and Benchtop Validation of a Powered Knee-Ankle Prosthesis with High-Torque, Low-Impedance Actuators" (2018, 47 citations), introduces a transformative approach to transfemoral prosthetic legs. By integrating high-torque-density actuators with low-reduction transmissions, Zhu’s design achieves a critical balance of high power output and low mechanical impedance, enabling more natural and responsive gait for amputees. This work is foundational for developing prostheses that closely mimic biological limb dynamics. In parallel, his research on "A User-Adaptive Online Learning Approach of Real-Time Gait Phase Detection for Walking Assistance" (2019) advances the field of wearable robotics by enabling exoskeletons to personalize assistance in real-time. Through an online learning algorithm, his system incrementally adapts gait parameters to individual users, marking a significant step toward truly intelligent, user-responsive assistive devices. Zhu’s contributions are pivotal in bridging the gap between high-performance hardware and adaptive control, directly impacting the future of mobility restoration and rehabilitation engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
50
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Design and Benchtop Validation of a Powered Knee-Ankle Prosthesis with High-Torque, Low-Impedance Actuators
47 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The University of Texas at Dallas

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago