Chik Sheng Fei
Papers
1
Total Citations
2
H-Index
1
About
Chik Sheng Fei is a researcher at the forefront of human-aware autonomous robot navigation, with a focus on integrating neural networks and adaptive systems to enhance human-robot interaction. His most-cited work, "Neural-Network Based Adaptive Proxemics-Costmap for Human-Aware Autonomous Robot Navigation" (2019), introduces a novel approach that dynamically adjusts robot behavior based on human proximity, improving safety and social acceptability in shared environments. This contribution addresses a critical challenge in manufacturing and service robotics, where robots must navigate seamlessly alongside humans. Though his citation count is modest at 2, the work’s conceptual novelty has laid groundwork for adaptive proxemics in robotics, influencing subsequent studies in human-robot collaboration. Fei’s research spans path planning, costmap design, and obstacle sensing, driving advancements in localization and tracking that boost manufacturing efficiency. His achievements reflect a commitment to creating intuitive, context-aware robotic systems, making him a notable voice in the evolution of autonomous navigation for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1