Papers

3

Total Citations

8

H-Index

1

About

Yadong Mo is an emerging researcher at the forefront of assistive robotics and intelligent mechatronic systems, with a focus on addressing critical challenges in healthcare and human-robot interaction. His primary research areas encompass the development of bathing assistive devices for the elderly, the kinematics of fracture reduction robots, and novel tactile-sensing technologies for humanoid robots. Mo’s major contributions include a systematic review of bathing robots, highlighting their significance in mitigating the global aging crisis, and the proposal of a Newton-Genetic algorithm to solve the forward kinematics of parallel fracture reduction robots—a breakthrough that promises faster, more precise surgical assistance. Additionally, he has pioneered a single-channel tactile-sliding triboelectric nanogenerator for evaluating humanoid robot performance, demonstrating innovation in self-powered sensing. Although his work is recent, with papers published in 2025, his research has already garnered citations (e.g., 6 citations for his bathing robot review), signaling growing impact. Mo’s interdisciplinary approach—bridging robotics, triboelectricity, and clinical application—positions him as a promising contributor to next-generation assistive technologies.

Research Focus

Key Achievements

1
H-Index
3
Papers
8
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Bathing assistive devices and robots for the elderly
6 citations · 2025
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Beijing University of Posts and Telecommunications

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago