About

Mingyuan Meng is a robotics researcher whose work spans assistive robotics, adaptive control systems, and human-robot interaction, with a particular focus on improving quality of life for individuals with physical disabilities. His most influential contributions center on the development of robotic systems for children with profound physical disabilities, exploring how robotic arms can enable play, exploration, and learning for those unable to grasp objects or communicate through conventional means — work that has collectively garnered over 100 citations across multiple publications. His 2002 paper on a robotic device facilitating learning in severely disabled children remains his most cited work, reflecting both its technical innovation and humanitarian significance. Beyond assistive technology, Meng has made notable contributions to intelligent control, including CMAC neural network-based adaptive control for flexible-joint robots and biologically inspired controllers for mobile robot navigation. His research portfolio also encompasses robotic prosthetics, including a pioneering robotic prosthetic eye, fuzzy logic-based mobile robot control, and home healthcare monitoring systems using robotic pets. Together, these contributions position Meng as a versatile researcher bridging advanced robotics engineering with meaningful real-world applications in healthcare and accessibility.

Research Focus

Key Achievements

7
H-Index
14
Papers
197
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Development of a robotic device for facilitating learning by children who have severe disabilities
57 citations · 2002
📈 Most Prolific Year: 2003 (4 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Alberta, Pain and Rehabilitation Medicine, University of Calgary, Glenrose Rehabilitation Hospital, Chinese University of Hong Kong, Hefei Institutes of Physical Science

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 · 14 days ago