Woohyeon Moon

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Woohyeon Moon is an emerging researcher in robotics and artificial intelligence, with a primary focus on intelligent path planning and reinforcement learning applications. Their most-cited work, "Path Planning of Cleaning Robot with Reinforcement Learning" (2022, 15 citations), addresses the critical challenge of energy efficiency in autonomous cleaning robots—a pressing issue as household electricity consumption rises with increased robot adoption. Moon’s key contribution lies in developing advanced reinforcement learning algorithms that enable robots to navigate and clean more efficiently, reducing energy waste while maintaining performance. This work bridges the gap between theoretical AI and practical robotics, offering scalable solutions for smart home automation. Though early in their career, Moon’s research has already garnered attention for its real-world relevance, particularly in the context of sustainable technology. By tackling the intersection of machine learning and energy optimization, Moon is paving the way for more intelligent, eco-friendly autonomous systems. Their work holds promise for broader applications in service robotics, where efficient decision-making is paramount.