Chengguang Xu
Papers
3
Total Citations
11
H-Index
3
About
Chengguang Xu is a robotics researcher whose work focuses on enabling autonomous robots to navigate efficiently in unfamiliar environments—a critical challenge for real-world deployment. His key research areas include robot navigation, hierarchical planning, and service robotics. Xu’s major contribution is pioneering methods that allow robots to navigate using only coarse, rough 2-D maps rather than requiring precise metric maps, dramatically reducing the time and computational cost of deployment in novel settings. His 2024 paper on robot navigation in unseen environments using coarse maps (4 citations) and his 2021 work on hierarchical navigation with rough 2-D maps (3 citations) demonstrate a systematic approach to this problem. Additionally, his 2017 paper on developing a low-cost identity recognition home service robot based on TurtleBot and ROS (4 citations) addresses the pressing social need for affordable assistive technologies for aging populations. While his citation counts are modest, Xu’s work represents foundational steps toward practical, generalizable robot navigation systems that could one day allow service robots to operate in any home or workplace without prior mapping.
Research Focus
Key Achievements
Top Papers
- 1Robot Navigation in Unseen Environments using Coarse Maps4 citations · 2024
- 2
- 3Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps3 citations · 2021