Yicheng Wu

ITRI International, Snap (United States)

Papers

Total Citations

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About

Yicheng Wu is a researcher whose work bridges robotics and computational imaging, with a focus on energy-efficient sensing and autonomous systems. His early contributions include a pioneering design for a robot docking station enabling automatic battery exchanging and charging, a critical innovation for security and surveillance robots that struggle with limited operational duration. This foundational work, cited 23 times, addresses a key bottleneck in long-duration autonomous deployment. More recently, Wu has advanced the field of adaptive 3D sensing, proposing an energy-efficient approach that overcomes the trade-off between sensing range and eye safety—a challenge central to autonomous robots and augmented reality. His 2023 paper on this topic introduces a method to dynamically adjust optical power, enabling robust depth estimation without compromising safety. Wu’s work demonstrates a consistent focus on practical, real-world constraints, from battery life to safe sensing, making his research highly relevant for students and engineers developing next-generation autonomous systems. His ability to identify and solve fundamental operational limitations marks him as a thoughtful contributor to robotics and imaging.