Yi-Che Tai

Papers

Total Citations

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About

Yi-Che Tai is a researcher specializing in autonomous robotics, with a particular focus on vision systems for humanoid robots operating in dynamic, unpredictable environments. His work centers on real-time object recognition and self-localization—critical capabilities for robots competing in high-speed settings like the RoboCup humanoid soccer league. Tai’s major contributions include developing efficient, integrated vision architectures that enable humanoid robots to simultaneously recognize objects, establish spatial coordinates, and perform self-localization for tactical decision-making. His 2009 paper, “An efficient object recognition system for humanoid robot vision,” and his 2010 follow-up, “An efficient object recognition and self-localization system for humanoid soccer robot,” together form a foundational toolkit for real-time robotic perception. Though his citation counts (7 and 6, respectively) reflect a focused, niche impact, his work has been instrumental for researchers building vision-based autonomy in competitive robotics. Tai’s systems address the core challenge of balancing speed and accuracy in resource-constrained humanoid platforms, making his contributions a practical reference for students and engineers advancing robot vision in real-world, time-sensitive applications.