Yun-Ting Tsai

Papers

Total Citations

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About

Yun-Ting Tsai is a researcher focused on advancing service robotics through the integration of artificial intelligence and autonomous control systems. Her primary research areas include AI-driven object recognition, robotic arm manipulation, and intelligent sensing technologies for service-oriented robots. Tsai’s major contribution lies in developing autonomous control frameworks that leverage modern AI techniques—such as deep learning-based object identification—to enhance the speed and accuracy of robotic perception and action. Her work addresses critical limitations of traditional image recognition methods, enabling robots to interact more effectively with dynamic environments. While her most cited paper, "The autonomous control of the Service-Oriented robot arms based on the artificial intelligence object identifying technology" (2019), has garnered 2 citations, it represents a foundational effort in applying AI to real-time robotic tasks. Tsai’s research holds promise for improving the autonomy and reliability of service robots in applications like assistive care, manufacturing, and household tasks. Her work contributes to the broader goal of creating more responsive and intelligent robotic systems that can operate safely and efficiently alongside humans.