Bin Wang
Papers
3
Total Citations
9
H-Index
2
About
Bin Wang is a robotics researcher whose work spans space robotics, humanoid systems, and autonomous control, with a focus on solving complex real-world engineering challenges through intelligent design and machine learning. His 2013 paper on space robot motion planning addresses one of the field's most critical problems — maintaining satellite attitude stability during in-orbit servicing — by developing collaborative control strategies combining momentum management with precise end-effector coordination using control moment gyros. In the same year, Wang contributed to the development of a sophisticated 7-degrees-of-freedom table tennis robot, integrating stereo vision with a humanoid manipulator and applying empirical learning methods to enable adaptive batting decisions across varied ball trajectories. His 2012 work on rapid prototyping of real-time controllers demonstrates a practical commitment to accelerating humanoid robotics development through accessible, off-the-shelf hardware and Simulink-based programming interfaces. Collectively, these contributions reflect Wang's interdisciplinary approach, bridging control theory, computer vision, and robotic manipulation. While his citation counts remain modest, his research addresses foundational challenges in autonomous robotics that continue to grow in relevance across space exploration and human-robot interaction domains.
Research Focus
Key Achievements
Top Papers
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