Papers
7
Total Citations
65
H-Index
5
About
Chih-Chung Chou has made significant contributions to mobile robotics, particularly in indoor navigation and human-robot interaction. His most influential work centers on the development of DWA*, a novel local reactive navigation method that extends the classic Dynamic Window Approach (DWA). By integrating velocity space analysis with region analysis and look-ahead verification, Chou’s DWA* enables robots to achieve high-speed, smooth, and local-minima-free navigation in unknown indoor environments—a critical advancement for autonomous service robots. His 2010 paper on this topic has garnered 36 citations, reflecting its impact on the field. Beyond navigation, Chou has explored human tracking and following, developing laser-based methods for detecting and following pedestrians in cluttered spaces like libraries and museums. His work on active pedestrian following and host-tracking for service robots addresses real-world challenges in human-robot collaboration. With a portfolio spanning from trajectory planning to biomimetic underwater robot design (e.g., a ray-mimic robot), Chou demonstrates versatility in applying robotic principles to diverse domains. His research continues to influence autonomous navigation and service robotics, offering practical solutions for robots operating alongside humans.
Research Focus
Key Achievements
Top Papers
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- 6Design and Implement a Ray-mimic Underwater Robot3 citations · 2013
- 7Active pedestrian following using laser range finder2 citations · 2011