Renjie Li

Papers

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About

Renjie Li is a rising researcher in autonomous mobile robotics, with a focused expertise in path planning for complex, real-world environments. His work addresses the critical challenge of enabling robots to navigate and operate effectively in semi-structured and unstructured settings. Li’s major contributions include the development of an optimization-based local planner for nonholonomic robots, which provides robust navigation solutions for semi-structured spaces, a foundational paper that has already garnered 8 citations. More recently, he has advanced the field of coverage path planning (CPP) with an improved STC-based algorithm designed specifically for large-scale, chaotic social environments, such as those requiring automated cleaning and disinfection. This 2024 work, with 6 citations, tackles the difficult problem of full coverage amidst numerous obstacles, building upon the SCAN-STC framework. Through these contributions, Renjie Li is demonstrating a clear commitment to solving practical, high-impact problems in service robotics, making his research highly relevant for students and engineers working on autonomous navigation and mobile robot deployment in everyday human spaces.