Papers

2

Total Citations

11

H-Index

1

About

Yudi Zhu is a robotics researcher specializing in rehabilitation robotics and bipedal locomotion, with a focus on developing intelligent, human-centered systems for mobility assistance and enhancement. Their work bridges the gap between clinical rehabilitation needs and advanced robotic control, particularly through the design of lower limb rehabilitation robots that incorporate active flexible training planning. Zhu’s most-cited paper, “Spring damping based control for a novel lower limb rehabilitation robot with active flexible training planning” (2022, 10 citations), introduces a novel control strategy that uses interactive force recognition to improve patient engagement and training efficiency during neurological rehabilitation—a key contribution to patient-driven therapy. More recently, Zhu has explored bio-inspired locomotion in “Exploiting Arch-like Foot Structure for Knee-Extended Walking in Bipedal Robots” (2025), addressing fundamental challenges in humanoid robotics such as pose singularities and high joint velocities. This work demonstrates Zhu’s commitment to translating biological principles into robotic design, with potential applications in assistive devices and humanoid platforms. With a growing citation record and impactful contributions to both rehabilitation and locomotion robotics, Yudi Zhu is an emerging voice in the field, advancing the frontier of robots that work with and for humans.

Research Focus

Key Achievements

1
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Spring damping based control for a novel lower limb rehabilitation robot with active flexible training planning
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago