About

Dr. Rajibul Huq is a leading researcher in assistive and rehabilitation robotics, with a focus on improving quality of life for older adults with dementia and stroke survivors. His work bridges human-robot interaction, intelligent control systems, and user-centered design. A key contribution is his pioneering research on robots that assist with daily activities for individuals with Alzheimer’s disease, where his 2016 study—cited 182 times—captured the perspectives of patients and caregivers, shaping the design of empathetic assistive technologies. He also developed an adaptive upper-limb stroke rehabilitation robotic system (88 citations) and a user-centered robotic device (46 citations), both aimed at restoring motor function through automated, adaptive therapy. Huq’s technical innovations include a behavior-modulation technique using fuzzy discrete event systems (74 citations) and a computational model for side-by-side walking in human-robot interaction (65 citations). His work on vision-based posture assessment (39 citations) enables real-time detection of compensatory movements during therapy, enhancing rehabilitation outcomes. With over 700 total citations, Huq’s research is instrumental in creating robots that are not only technically advanced but also responsive to the real-world needs of aging and disabled populations.

Research Focus

Key Achievements

12
H-Index
16
Papers
745
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
Robots to assist daily activities: views of older adults with Alzheimer's disease and their caregivers
182 citations · 2016
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: MathWorks (United States), University of Toronto, Centre For Cold Ocean Resources Engineering, Memorial University of Newfoundland, Quanser (Canada)

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago