Yunfeng Hu
Papers
2
Total Citations
46
H-Index
2
About
Yunfeng Hu is a robotics researcher whose work bridges mobile robotics and space-vehicle technologies. His primary research areas include trajectory planning, motion control, and obstacle avoidance for complex robotic systems. Hu’s major contribution lies in developing a reconstruction approach that adapts ground mobile robot control strategies for space vehicle applications, as demonstrated in his 2018 paper, which has garnered 29 citations. This work provides a foundational framework for translating terrestrial robotic techniques to extraterrestrial environments. More recently, Hu has advanced the field with his 2024 paper on a hybrid orthogonal repetitive motion and obstacle avoidance scheme for omnidirectional mobile robotic arms (OMRAs). This scheme, which has received 17 citations, addresses the critical challenge of enabling OMRAs to navigate complex environments while accurately performing tasks. By integrating repetitive motion control with real-time obstacle avoidance, Hu’s work enhances the autonomy and safety of mobile manipulators. His research is particularly notable for its practical implications in space exploration and industrial automation, where precise, adaptive robotic movement is essential. Yunfeng Hu continues to push the boundaries of intelligent robotic systems, making significant strides in both theoretical and applied robotics.
Research Focus
Key Achievements
Top Papers
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