Pin-Chun Hsieh

Columbia University

Papers

2

Total Citations

5

H-Index

2

About

Pin-Chun Hsieh’s research focuses on assistive robotics, particularly autonomous navigation and collision-avoidance systems for mobility aids. Their major contributions lie in developing real-time path-planning algorithms for robotic wheelchairs operating in unknown, dynamic environments. By integrating infrared sensors and beacon tracking, Hsieh’s work enables safe, autonomous movement without pre-mapped routes—a critical advancement for users with limited mobility. Their 2010 paper on a wheelchair with axle-centered turning kinematics and real-time path planning has garnered 3 citations, while a related 2008 study on collision-avoidance navigation has 2 citations. Though modest in citation count, these foundational studies demonstrate practical solutions for real-world deployment, emphasizing obstacle detection and light-source tracking to optimize trajectory. Hsieh’s research bridges robotics and rehabilitation engineering, offering a scalable approach to intelligent wheelchairs that could enhance independence for individuals with disabilities. Their work stands as a stepping stone for future innovations in autonomous assistive devices, highlighting the importance of robust, low-cost sensing in human-centered robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous robotic wheelchair with collision-avoidance navigation and real-time path planning
3 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Columbia University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago