Eiji Machida

Papers

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About

Eiji Machida is a leading researcher in human-robot interaction, with a particular focus on motion tracking and autonomous navigation systems. His most influential work, "Human motion tracking of mobile robot with Kinect 3D sensor" (2012), has garnered 54 citations and pioneered the use of low-cost depth sensors for real-time robot control. In this landmark study, Machida developed a tracking control system that leverages 3D position data from the Kinect sensor to directly command a mobile robot's velocity and orientation, overcoming significant challenges posed by sensor noise and occlusion. This contribution has been instrumental in advancing intuitive, non-invasive human-robot interfaces, enabling safer and more responsive robotic platforms for assistive and service applications. Machida's work bridges computer vision, control theory, and robotics, demonstrating how accessible sensor technology can be harnessed for sophisticated autonomous behavior. His research continues to influence the development of mobile robots that can seamlessly follow and interact with humans in dynamic environments, making him a key figure in the evolution of collaborative robotics.