Youhei Haga

Papers

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About

Youhei Haga is a robotics researcher whose work focuses on advancing human-robot interaction, particularly through intuitive teleoperation systems and visual feedback control. His most cited paper, "Gaze direction based vehicle teleoperation method with omnidirectional image stabilization and automatic body rotation control" (2015), addresses a critical challenge in remote robot operation: enabling operators to naturally perceive and navigate environments using gaze direction. By integrating omnidirectional image stabilization with automatic body rotation, Haga’s method allows a robot to act as a seamless physical proxy, reducing cognitive load and improving situational awareness. This contribution has garnered 4 citations and lays groundwork for more immersive telepresence systems. Haga’s research sits at the intersection of computer vision, human factors engineering, and mobile robotics, with implications for search-and-rescue, exploration, and assistive technologies. His work demonstrates a commitment to making remote robot control more intuitive, bridging the gap between human intent and machine action. For students and researchers in robotics, Haga’s approach offers a compelling example of how gaze-based interfaces can transform teleoperation from a cumbersome task into a fluid, natural extension of human perception.