Papers
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Total Citations
3
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About
Pei Chen is a robotics researcher whose work focuses on safe and adaptive trajectory planning for autonomous systems operating in complex, dynamic environments. Chen’s key contributions lie in developing multi-risk aware algorithms that enable car-like robots to navigate highly unpredictable settings, where humans and machines must coexist safely. Their 2023 paper, “Multi-risk Aware Trajectory Planning for Car-like Robot in Highly Dynamic Environments,” addresses the critical challenge of collision avoidance by integrating risk assessments for both dynamic and static obstacles—a departure from traditional single-risk models. This work has already garnered early citations, signaling its growing influence in the field of autonomous navigation. Chen’s research bridges the gap between theoretical planning frameworks and real-world deployment, offering practical solutions for scenarios ranging from warehouse logistics to urban mobility. By prioritizing safety without sacrificing efficiency, Chen’s contributions are shaping the next generation of intelligent robotic systems. Their work stands as a valuable resource for students and researchers tackling the complexities of human-robot interaction and motion planning in uncertain environments.
Research Focus
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Top Papers
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