Suping Cao

Huazhong University of Science and Technology

Papers

1

Total Citations

11

H-Index

1

About

Dr. Suping Cao is a leading researcher in assistive robotics and human–robot interaction, with a primary focus on developing intelligent systems that enhance mobility and rehabilitation. His most cited work introduces a novel human motion intent estimation algorithm for walking-aid robots, integrating laser ranger finder and force sensor data to predict user movement. This contribution, with 11 citations, enables smoother, more comfortable, and safer operation of assistive devices—a critical advancement for elderly and rehabilitation populations. Dr. Cao’s research directly addresses the challenge of intuitive control in robotic walkers, bridging sensor fusion and intent recognition to improve quality of life. His work has influenced the design of rehabilitation robots and walking aids, setting benchmarks for user-centered automation. By prioritizing safety and natural interaction, Dr. Cao’s contributions continue to shape the future of assistive technology, making robotic support more responsive and accessible for individuals with mobility impairments.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Laser and force sensors based human motion intent estimation algorithm for walking-aid robot
11 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Huazhong University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago