Jiabin Yu

Beijing Technology and Business University

Papers

Total Citations

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About

Jiabin Yu is an emerging robotics researcher specializing in motion planning and control for robotic systems, with a particular focus on navigating complex, obstacle-rich environments. Their work addresses fundamental challenges in autonomous robotics, developing innovative algorithmic solutions that enhance the efficiency, precision, and practicality of robotic arm operations in real-world settings. Yu's most notable contribution is the development of an improved APF-RRT* algorithm for mobile robotic arm motion planning, which has garnered 9 citations since its 2023 publication. This work advances the field by optimizing random tree node selection strategies, enabling more effective path planning for robotic arms tasked with object retrieval in cluttered environments. Building on this foundation, Yu's 2024 research introduces an enhanced Informed-RRT* algorithm, directly targeting persistent industry challenges such as excessive search time, uneven path generation, and mechanical vibration during robotic movement. Though early in their research career, Yu demonstrates a clear and focused research trajectory centered on making robotic systems more intelligent and operationally reliable. Their contributions to sampling-based motion planning algorithms represent meaningful progress toward deploying autonomous robotic arms in practical industrial and service robotics applications.