Wenrui Liu
Papers
1
Total Citations
1
H-Index
1
About
Wenrui Liu is a researcher advancing the field of robotic manipulation, with a primary focus on remote operation and autonomous path planning. His work addresses critical challenges in teleoperation, particularly the high latency and obstacle avoidance difficulties that limit the precision and safety of remote robotic arms. Liu’s most notable contribution is the development of a novel path planning algorithm that fuses the Artificial Potential Field (APF) and Rapidly-exploring Random Tree (RRT) methods. By integrating APF’s efficient local obstacle avoidance with RRT’s robust global exploration, his algorithm significantly enhances real-time navigation in complex, cluttered environments. This hybrid approach not only improves the success rate of obstacle avoidance but also mitigates the impact of communication delays, making remote robotic operations more reliable and responsive. While his seminal 2024 paper has garnered initial citations, the practical implications of his work are substantial, promising safer and more efficient control for applications in hazardous environments, telemedicine, and industrial automation. Liu’s research sits at the intersection of control theory and artificial intelligence, offering a scalable solution to one of robotics’ enduring challenges.
Research Focus
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Top Papers
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