Pin-Chun Hsieh
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
Top Papers
- 1
- 2Autonomous robotic wheelchair with collision-avoidance navigation2 citations · 2008