Papers
7
Total Citations
20
H-Index
3
About
Xuchao Huang is a robotics researcher whose work spans the critical intersection of space robotics, mobile manipulation, and autonomous navigation. His most impactful contributions address the fundamental challenges of robotic motion planning and environmental perception for both extraterrestrial and terrestrial applications. Huang's research on impedance control for serial-parallel hybrid space robots (2025, 5 citations) provides a foundational framework for compliant assembly operations in orbit, a key enabler for future on-orbit servicing and construction. He has also developed globally optimal trajectory planning methods for wheeled robots (2024, 4 citations), overcoming the traditional discontinuity between global and local planning to achieve smoother, more efficient paths for indoor inspection robots. His W-VSLAM algorithm (2024, 3 citations) tackles the persistent problem of visual-inertial drift in indoor mapping, while his H-GrabCut segmentation technique (2023, 3 citations) improves pedestrian detection for safer human-robot interaction. Huang's work on active disturbance rejection control (2024, 2 citations) further enhances trajectory tracking precision, and his combined elastic-nonholonomic model for RHex-like robots (2021, 2 citations) offers a novel approach to modeling compliant locomotion. With a cumulative citation count of 20 across his most-cited works, Huang is establishing himself as a versatile innovator whose research directly addresses practical deployment challenges in both space and indoor environments.
Research Focus
Key Achievements
Top Papers
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- 3W-VSLAM: A Visual Mapping Algorithm for Indoor Inspection Robots3 citations · 2024
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