Bo-Hsun Chen
Papers
2
Total Citations
10
H-Index
2
About
Bo-Hsun Chen is a robotics researcher specializing in dual-arm manipulation and lunar perception systems. His primary research areas include coordinated robotic control, sensor fusion, and simulation-based data augmentation for planetary exploration. Chen’s major contribution is a novel dual-arm manipulation strategy that integrates position/force error correction with Kalman filtering, enabling stable object handling through master-slave coordination. This work, published in 2021, has garnered 8 citations and addresses critical challenges in robotic dexterity by combining spatial awareness with tactile feedback. More recently, Chen contributed to POLAR-Sim, a project augmenting NASA’s POLAR dataset for lunar perception and rover simulation. By enhancing high dynamic range stereo imagery from 13 terrain scenarios, this 2025 work supports data-driven machine learning for autonomous navigation on the Moon. Though early in its impact with 2 citations, POLAR-Sim represents a vital step toward robust extraterrestrial robotics. Chen’s work bridges theoretical control systems with practical applications in space exploration, demonstrating a commitment to advancing robotic autonomy in unstructured environments. His research holds promise for future lunar missions requiring precise manipulation and perception capabilities.
Research Focus
Key Achievements
Top Papers
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- 2