Hongxing Zheng

Papers

Total Citations

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About

Hongxing Zheng is a robotics researcher whose work focuses on enabling mobile robots to operate autonomously in complex, unstructured environments—particularly those encountered in extraterrestrial exploration. His key research areas include terrain classification, real-time path planning, and sensor-based navigation for planetary rovers. Zheng’s most cited paper, "Three-Dimensional Vibration-Based Terrain Classification for Mobile Robots" (2019, 43 citations), addresses a critical challenge in space missions: predicting terrain traversability without relying on vision or LiDAR. By using vibration signatures from the rover’s chassis, his work offers a robust alternative for environments where optical sensors may fail. In another influential study, "Real Time Robot Path Planning Method Based on Improved Artificial Potential Field Method" (2018, 17 citations), Zheng tackles the classic problems of local minima and oscillation in path planning, proposing enhancements that allow robots to navigate narrow passages and obstacle-dense areas more reliably. His contributions are particularly significant for high-cost, high-stakes missions where failure is not an option. Through these innovations, Zheng is helping to push the boundaries of autonomous robotics in extreme environments, making him a notable figure in the field of mobile robot navigation.