Papers
1
Total Citations
4
H-Index
1
About
Yu-Chen Kuo is a researcher specializing in humanoid robotics, with a particular focus on task execution, process modeling, and the integration of autonomous systems in competitive environments. His most notable work, "Process Modeling and Task Execution of FIRA Weight-Lifting Games with a Humanoid Robot" (2012), demonstrates his contributions to the development of robotic systems capable of performing complex, real-world tasks under dynamic conditions. By modeling the processes required for a humanoid robot to successfully compete in FIRA weight-lifting games, Kuo advanced the understanding of motion planning, balance control, and task sequencing in autonomous agents. Although his work has garnered modest citation counts—with his top-cited paper reaching 4 citations—it represents a foundational step in applying humanoid robotics to structured, competitive scenarios. Kuo’s research bridges theoretical modeling and practical execution, offering insights that are valuable for students and researchers exploring the intersection of robotics, artificial intelligence, and real-time decision-making. His efforts contribute to the broader goal of creating robots that can operate effectively in human-centered environments, making his work a noteworthy reference in the field of humanoid robotics and autonomous task execution.
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Top Papers
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