Satoshi Kawabata

National Institute of Advanced Industrial Science and Technology

Papers

Total Citations

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About

Satoshi Kawabata is a leading researcher in robotic manipulation and autonomous grasping, with a focus on enabling robots to operate reliably in complex, unstructured environments. His work bridges computer vision, motion planning, and human-robot interaction to solve the fundamental challenge of picking up specific objects in cluttered real-world settings. His highly cited 2010 paper, "Picking up an indicated object in a complex environment," introduces a pioneering three-step grasping system that allows a user to indicate a target object and provide task instructions, after which the robot autonomously plans and executes a stable grasp using a parallel jaw gripper. This work has garnered 28 citations and laid critical groundwork for subsequent advances in interactive pick-and-place systems. Kawabata’s contributions are essential for the development of service robots, warehouse automation, and assistive technologies, where safe and precise object handling in dynamic surroundings is paramount. His research continues to influence both academic robotics and practical applications in industrial automation.