Kuisong Zheng
Papers
4
Total Citations
50
H-Index
3
About
Kuisong Zheng is a robotics researcher whose work sits at the intersection of autonomous navigation, human-robot interaction, and service robotics. With a focus on real-world deployment of intelligent robotic systems, Zheng has made meaningful contributions to the development of safe and reliable robots capable of operating in demanding environments alongside humans. His most impactful work centers on laser-based people detection and obstacle avoidance for hospital transport robots, which has accumulated 26 citations and addresses a critical safety challenge: enabling differential-drive robots to identify and respond to human presence while navigating complex, dynamic environments like hospitals. This research highlights both technical ingenuity and a keen awareness of practical, high-stakes applications. Complementing this, his 2017 study on performance metrics for cleaning robot coverage — garnering 19 citations — demonstrates a rigorous, measurement-driven approach to evaluating autonomous systems using motion capture technology. His work on batch calibration frameworks for service robots further reflects a commitment to scalable, generalizable solutions for real-world robotics deployment. Across his body of work, Zheng has established himself as a thoughtful contributor to service robotics, with research that bridges theoretical methodology and applied engineering in environments where reliability and human safety are paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2Performance Metrics for Coverage of Cleaning Robots with MoCap System19 citations · 2017
- 3A General Batch-Calibration Framework of Service Robots3 citations · 2017
- 4