Hao-Bo Kang

Northeastern University

Papers

2

Total Citations

110

H-Index

2

About

Hao-Bo Kang is a leading figure in rehabilitation robotics, specializing in the design and control of upper-limb exoskeletons for assistive and therapeutic applications. His research focuses on developing intelligent control systems that enhance both performance and user safety, a critical balance in human-robot interaction. Kang’s most influential work, “Adaptive control of 5 DOF upper-limb exoskeleton robot with improved safety” (2013), has garnered 83 citations, establishing a foundational approach for adaptive control strategies that prioritize patient protection during robotic therapy. He further advanced this field with his 2015 study on adaptive robust control, which introduced methods to handle dynamic uncertainties and external disturbances, achieving 27 citations. By integrating adaptive algorithms with robust control theory, Kang has significantly improved the stability and reliability of exoskeletons, enabling safer, more natural movement for individuals with motor impairments. His contributions are pivotal in bridging the gap between theoretical control engineering and practical clinical applications, making him a key innovator in the development of next-generation assistive devices.

Research Focus

Key Achievements

2
H-Index
2
Papers
110
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive control of 5 DOF upper-limb exoskeleton robot with improved safety
83 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Northeastern University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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