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1
Total Citations
4
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1
About
Yixuan Sun is a robotics researcher whose work focuses on advancing coverage path planning (CPP) for curvature-constrained robots, with a particular emphasis on collision-free navigation and variable-speed control. Their major contribution lies in challenging the traditional fixed-speed assumption in Dubins coverage models, demonstrating that allowing a robot to accelerate not only reduces mission time but also enhances its ability to avoid obstacles in complex environments. This innovation directly addresses a critical limitation in autonomous robotic systems, enabling more flexible and efficient operations in tasks such as agricultural surveying, search-and-rescue, and industrial inspection. Sun’s most-cited paper, "Collision-free Coverage Path Planning for the Variable-speed Curvature-constrained Robot" (2023), has already garnered 4 citations, signaling growing recognition within the field. By integrating curvature constraints with dynamic speed adjustment, Sun’s work bridges a gap between theoretical path planning and real-world robotic agility, making it a valuable reference for researchers developing next-generation autonomous vehicles. Their research promises to improve the practicality of robots operating in tight or unpredictable spaces.
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