Haoran Ding

University College London

Papers

1

Total Citations

29

H-Index

1

About

Haoran Ding is a rising researcher in rehabilitation robotics and intelligent control systems, with a focus on developing advanced human-robot interaction technologies for medical applications. His most-cited work, "Impedance Sliding-Mode Control Based on Stiffness Scheduling for Rehabilitation Robot Systems" (2024, 29 citations), introduces a novel control method that combines impedance control with sliding-mode techniques, dynamically adjusting stiffness to replicate therapist-guided movements. This contribution addresses critical challenges in robot-assisted therapy, enabling safer and more adaptive training for patients with motor impairments. Ding's research bridges control theory and clinical rehabilitation, emphasizing real-time adaptability and precision. His work has garnered attention for its potential to enhance recovery outcomes, particularly in stroke and injury rehabilitation. By integrating stiffness scheduling with robust control, Ding has laid groundwork for next-generation rehabilitation systems that mimic human therapeutic intuition. As his citation impact grows, he is recognized for translating complex control algorithms into practical, patient-centered solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
29
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Impedance Sliding-Mode Control Based on Stiffness Scheduling for Rehabilitation Robot Systems
29 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University College London

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago