Papers
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Total Citations
11
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About
Peng Cai is a researcher specializing in space robotics and autonomous motion planning, with a particular focus on hierarchical control strategies for complex manipulator systems. His most cited work, "Hierarchical motion planning at the acceleration level based on task priority matrix for space robot" (2022), has garnered 11 citations, reflecting its significance in addressing the challenges of real-time, multi-objective control for space-based robotic arms. Cai’s key contribution lies in developing a task priority matrix framework that enables robots to execute multiple tasks—such as trajectory tracking, obstacle avoidance, and joint limit avoidance—simultaneously while maintaining computational efficiency. This approach is critical for space applications where redundancy and safety are paramount. By prioritizing tasks at the acceleration level, his work enhances the dexterity and reliability of space robots in uncertain environments. Cai’s research bridges theoretical control theory with practical robotics, offering scalable solutions for on-orbit servicing and assembly. His achievements underscore a growing impact in the field, with potential applications extending to terrestrial autonomous systems. For students and researchers, Cai’s work exemplifies how hierarchical planning can solve real-world constraints in dynamic, high-stakes settings.
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Top Papers
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