Chuanqi Zhengl
Papers
1
Total Citations
11
H-Index
1
About
Chuanqi Zheng is a robotics researcher whose work focuses on autonomous navigation and perception for mobile robots, particularly in challenging indoor and outdoor environments. His key contributions center on vision-based stair detection and classification, a critical capability for stair-climbing robots used in search-and-rescue, inspection, and assistive applications. In his most cited work, "Vision-based Ascending Staircase Detection with Interpretable Classification Model for Stair Climbing Robots" (2022, 11 citations), Zheng developed a novel algorithm that uses RGB vision and an interpretable classification model to enable robots to accurately identify ascending staircases in real time. This work addresses a fundamental challenge in legged and tracked robot mobility—reliable stair perception—by combining computer vision with explainable AI, making the system both effective and transparent for safety-critical operations. Zheng’s research bridges the gap between robust perception and practical deployment, contributing to the growing field of autonomous navigation in unstructured environments. His work has been cited by peers developing advanced locomotion and perception systems, highlighting its relevance to ongoing advancements in field robotics.
Research Focus
Key Achievements
Top Papers
- 1