Shang-Yang Wu

National Yang Ming Chiao Tung University

Papers

2

Total Citations

19

H-Index

2

About

Shang-Yang Wu is a robotics researcher whose work focuses on assistive and human-robot interaction technologies, particularly in the development of intelligent walking-assistant robots and teleoperation systems. His most significant contribution is the design of a safe guidance system for a walking-assistant robot, which integrates gait estimation and obstacle avoidance to enable passive-compliant motion control. This approach, detailed in his 2017 paper with 17 citations, recognizes user intent through gait movement and applied hand force, allowing the robot to adapt seamlessly to human motion while avoiding obstacles. Wu’s work addresses critical challenges in assistive robotics, enhancing mobility support for elderly or disabled individuals. Additionally, his 2014 paper on a human-touch robot introduces a shared-control teleoperation scheme for a dual-arm omnidirectional mobile robot, enabling it to autonomously navigate environments while responding to remote user commands. Though less cited, this research demonstrates his broader interest in blending autonomy with human control. Wu’s contributions are valuable for students and researchers exploring human-centered robotics, offering practical insights into safe, intuitive, and adaptive robotic systems that prioritize user safety and comfort.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Safe Guidance for a Walking-Assistant Robot Using Gait Estimation and Obstacle Avoidance
17 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: National Yang Ming Chiao Tung University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago