Papers
10
Total Citations
51
H-Index
4
About
Hongxuan Ma is a robotics researcher whose work spans visual perception, autonomous navigation, and intelligent robotic systems. His research is particularly distinguished by contributions to visual servoing, mobile robot control, and robotic perception of challenging environments. Ma has made notable advances in adaptive trajectory tracking for wheeled mobile robots using fish-eye cameras, developing uncalibrated approaches that enhance real-world deployability. His work on composite visual servoing configurations — combining eye-in-hand and eye-to-hand setups with active observation strategies — addresses fundamental challenges in imaging quality and observability for robotic manipulation. Beyond navigation and control, Ma has pushed the boundaries of robotic perception for difficult scenarios. His 2025 work on transparent object depth estimation and segmentation tackles one of the field's most stubborn problems, proposing an iterative semantic-geometric fusion framework that has already attracted 8 citations. His applied contributions extend to industrial robotics, including spray path planning and point cloud segmentation for surface coating tasks. More recently, his exploration of auditory-driven model predictive control signals a broadening interest in multi-modal robot sensing. With over 50 cumulative citations across a decade of output, Ma's work reflects a consistent commitment to bridging perception, planning, and control in practical robotic systems.
Research Focus
Key Achievements
Top Papers
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- 7Human Following for Wheeled Robot with Monocular Pan-tilt Camera4 citations · 2019
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