Jih-Shi Chen
Papers
1
Total Citations
73
H-Index
1
About
Jih-Shi Chen is a leading researcher in assistive robotics and human-robot interaction, with a primary focus on developing intelligent navigation systems for people who are blind and visually impaired (BVI). His most impactful work, "Deep Trail-Following Robotic Guide Dog in Pedestrian Environments for People who are Blind and Visually Impaired—Learning from Virtual and Real Worlds" (2018, 73 citations), pioneers a deep learning-based approach to robotic guide dogs that can autonomously follow trails in complex pedestrian environments. This contribution bridges virtual and real-world training, enabling robots to mimic the adaptive trail-following behavior of living guide dogs while avoiding obstacles—a critical advancement for independent BVI mobility. Chen’s research integrates computer vision, reinforcement learning, and tactile feedback, directly addressing the limitations of traditional white canes. His work has been recognized for its potential to transform assistive technology, offering a scalable, cost-effective alternative to animal guide dogs. By combining rigorous simulation with real-world validation, Chen has set a new benchmark for robotic navigation in human-centered spaces, inspiring further innovations in inclusive robotics and autonomous mobility aids.
Research Focus
Key Achievements
Top Papers
- 1