Jin Bao

Papers

Total Citations

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About

Jin Bao is a robotics researcher whose work centers on sensor-based motion planning and autonomous collision avoidance for robot arm manipulators. Operating at the intersection of real-time robotics and environmental perception, Bao has made meaningful contributions to the challenge of enabling robotic systems to navigate safely in unknown, unstructured environments without any prior knowledge of obstacle geometry or placement. Bao's most recognized contribution, "Real-time motion planning for robot manipulators in unknown environments using infrared sensors" (2007), has garnered 11 citations and presents a practical framework for online collision avoidance using infrared sensing technology. This work builds upon earlier foundational research from 2006 and 2005, in which Bao explored the use of sensitive skin technology to construct real-time spatial descriptions of a robot's surroundings, enabling dynamic path adjustment during operation. Across this body of work, Bao has consistently addressed a core challenge in industrial and service robotics: allowing manipulators to operate reliably alongside unpredictable obstacles. With a cumulative citation count of 16, Bao's research offers practical tools relevant to engineers and researchers developing adaptive robotic systems, particularly those operating in human-shared or dynamically changing workspaces.