Papers
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Total Citations
2
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About
Peilin Cai is a researcher focused on advancing robotic motion planning, particularly for manipulator systems. Their key research area centers on developing efficient and safe path planning algorithms for multi-degree-of-freedom robotic arms, addressing the critical challenge of enabling robots to autonomously navigate complex environments. Cai’s most notable contribution is the work on "Multi-point traversal path planning of manipulator based on improved RRT algorithm," which proposes enhancements to the Rapidly-exploring Random Tree (RRT) algorithm to optimize multi-target traversal for 6-DOF manipulators. This study, published in 2019, has garnered 2 citations, reflecting its relevance in the robotics community. By tackling the practical need for secure and effective motion paths, Cai’s research supports the broader integration of manipulators into fields like manufacturing, logistics, and healthcare. Their work underscores a commitment to bridging algorithmic theory with real-world robotic applications, offering a foundation for future innovations in autonomous navigation and task execution.
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