Chiao-Yu Yang

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About

Chiao-Yu Yang is a pioneering researcher at the intersection of robotics, artificial intelligence, and gerontechnology, dedicated to addressing the challenges of an aging society through empathetic, brain-inspired robotic systems. Her primary research areas encompass companion robotics, cognitive architectures, and human-robot interaction, with a focus on developing intelligent agents that can provide daily care and memory assistance to elders. Yang's major contributions include the innovative application of homeostatic drives theory to robotics, as detailed in her highly cited 2017 paper (37 citations), where she designed a companion robot that uses reinforcement learning with human feedback to make contextually appropriate decisions for elder care. She further advanced the field with her 2021 work on a brain-inspired self-organizing episodic memory model, implemented on the Pepper robot, which leverages fusion adaptive resonance theory to assist users with memory impairment. This end-to-end system represents a significant step toward creating truly assistive companions that can learn and adapt to individual needs. Yang's work has garnered attention for its novel synthesis of biological principles and engineering solutions, positioning her as a leading voice in the development of socially assistive robots for real-world healthcare applications.