Papers
1
Total Citations
3
H-Index
1
About
Yu-Cheng Kuo is a robotics researcher whose work centers on the integration of formal modeling techniques with humanoid robot control, particularly in competitive athletic scenarios. His most cited contribution, "Petri-net-based implementations for FIRA weightlifting and sprint games with a humanoid robot" (2013), demonstrates a novel approach to programming humanoid robots for dynamic, real-time tasks. By applying Petri nets—a mathematical modeling language for distributed systems—Kuo enabled robots to execute complex, sequential actions like weightlifting and sprinting with improved reliability and coordination. This work, which has garnered 3 citations, represents a foundational step in bridging theoretical computer science and practical robotics, offering a framework for developing more autonomous and adaptive humanoid systems. Kuo's research is particularly notable for its focus on the FIRA (Federation of International Robot-sports Association) competitions, where his implementations have contributed to advancing robot performance in sports-inspired challenges. His contributions highlight the potential of formal methods to enhance robot behavior in constrained, high-stakes environments, making his work a valuable reference for students and researchers exploring humanoid robotics, Petri-net applications, or robot sports.
Research Focus
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Top Papers
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