Papers
33
Total Citations
529
H-Index
12
About
Haoxiang Lang is a robotics researcher whose work spans visual servoing, autonomous navigation, robotic manipulation, and thermal management systems. He is perhaps best known for his pioneering contributions to vision-based control for mobile robots, most notably his 2009 paper on hybrid visual servo controllers for wheeled mobile robots, which has accumulated 143 citations and addressed the critical challenge of maintaining visual features within a camera's field of view during robotic grasping tasks. This foundational work was later extended through hybrid camera configurations and, more recently, integrated with deep neural networks to advance 3D visual servoing for robotic manipulation. Lang has also made significant contributions to autonomous vehicle research, authoring a widely referenced 2018 review on thermal management methods for robots (69 citations) and a 2020 survey on stereo visual SLAM for autonomous vehicles. His breadth is further demonstrated through work on multi-sensor localization, optimal path planning for articulated vehicles with trailers, and the mechanical design of tendon-driven robotic hands. Collectively, his publications reflect a career dedicated to making robotic systems more robust, intelligent, and practically deployable across industrial and autonomous vehicle domains, with his research attracting over 390 citations across a diverse and growing body of work.
Research Focus
Key Achievements
Top Papers
- 1A Hybrid Visual Servo Controller for Robust Grasping by Wheeled Mobile Robots143 citations · 2009
- 2A review on thermal management methods for robots69 citations · 2018
- 3
- 4Robotic manipulation based on 3-D visual servoing and deep neural networks35 citations · 2022
- 5Stereo Visual SLAM for Autonomous Vehicles: A Review33 citations · 2020
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- 8Design and optimization of a tendon-driven robotic hand15 citations · 2017
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