Papers
3
Total Citations
33
H-Index
2
About
Peng Sun is a leading researcher at the intersection of robotics, artificial intelligence, and environmental monitoring. His most influential work, "Simultaneous Robot–World and Hand–Eye Calibration without a Calibration Object," has garnered 24 citations and addresses a critical challenge in robotics: precisely determining the transformation between a camera and a robot without relying on expensive or sterile calibration objects. This method has significant implications for mobile and medical robotics, where accuracy and sterility are paramount. Sun also pioneers the application of deep learning in education, as seen in his 2023 paper on personalized course resource recommendation algorithms for intelligent question-answering robots, which tackles issues of information extraction and feature insufficiency. More recently, his 2025 review on landfill odor assessment marks a shift toward spatiotemporal monitoring, advancing environmental science from static measurements to dynamic, real-time tracking. With a growing citation impact and work spanning calibration, AI-driven personalization, and environmental sensing, Peng Sun demonstrates a versatile and impactful research portfolio that bridges theoretical innovation with practical, real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3