Papers

9

Total Citations

49

H-Index

4

About

Shenglin Mu is a robotics researcher whose work spans assistive robotics, autonomous mobile systems, and human-robot interaction, with a particular focus on improving quality of life for individuals with physical disabilities. Mu's most recognized contribution is the development of meal-assistance robots utilizing ultrasonic motors (USMs) — a design choice that makes the systems safe for users with pacemakers by eliminating electromagnetic field generation. The eye-interface-controlled meal robot, first introduced in 2011 and refined by 2014, represents a flagship achievement, accumulating over 16 citations and demonstrating Mu's commitment to accessible, user-centered engineering. Beyond assistive feeding devices, Mu has extended this work into mobile robotics, developing user-following robots with stand-up assistance capabilities and avatar robots that enable long-term absent students to participate in classroom settings remotely. His contributions to autonomous navigation include an AKAZE-based visual odometry system for robot self-localization. More recently, Mu has explored agricultural automation through strawberry-harvesting robot development. Across roughly a decade of publishing, his research consistently bridges human needs with practical robotic solutions, reflecting a career dedicated to socially impactful robotics engineering.

Research Focus

Key Achievements

4
H-Index
9
Papers
49
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Meal-Assistance Robot Using Ultrasonic Motor with Eye Interface
16 citations · 2014
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Yamaguchi University, Ehime University, National Institute of Technology, Hiroshima College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago