Papers
11
Total Citations
157
H-Index
7
About
Zhicheng Hou is a robotics researcher whose work spans autonomous navigation, robotic manipulation, multi-robot systems, and dynamic control. His most impactful contributions address fundamental challenges in robot path planning and industrial automation. His 2021 work on an improved Artificial Potential Field method for amphibious robot fish path planning (47 citations) resolved longstanding limitations such as local minima and unreachable targets, while his novel four-step seam tracking technique for robotic welding (40 citations) advanced precision automation in complex manufacturing environments. Hou has also made significant contributions to multi-robot coordination, proposing binocular vision-based base frame calibration for collaborative grinding stations and developing dual quaternion kinematic control frameworks for dual-arm robotic systems. His research extends into dynamic modeling, where he applied optimized recurrent neural networks for systematic error compensation in collaborative robot dynamics and employed bio-inspired algorithms for parameter identification. Additional work encompasses two-wheeled self-balancing robots, biped locomotion systems, multi-quadrotor formation control, and robotic deburring processes. Collectively, Hou's research reflects a broad yet cohesive commitment to improving robotic precision, coordination, and real-world industrial applicability.
Research Focus
Key Achievements
Top Papers
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- 4Dual quaternion based kinematic control for Yumi dual arm robot15 citations · 2017
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- 7Two-wheeled self-balancing robot modeling and nonlinear control7 citations · 2017
- 8Design and implementation of high efficiency biped robot system4 citations · 2010
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