Chien-Ting Chen
Papers
1
Total Citations
2
H-Index
1
About
Chien-Ting Chen is a leading researcher in cognitive robotics and human-robot interaction, with a focus on developing intelligent systems that assist aging populations. Their work centers on integrating human activity inference, cognitive memory, and environmental perception to enable robots to perform complex tasks like object-goal navigation in home care settings. Chen’s key contributions include designing robotic systems that emulate human cognitive abilities—such as detecting, memorizing, and reasoning about spatial environments and user behaviors—to locate desired objects for older adults with declining memory. Their 2024 paper on this topic, “Object-Goal Navigation of Home Care Robot Based on Human Activity Inference and Cognitive Memory,” has already garnered early citations, reflecting its timely relevance. By bridging artificial intelligence, cognitive science, and assistive technology, Chen’s research addresses critical challenges in aging-in-place and autonomous caregiving. Their work not only advances the field of socially assistive robotics but also offers practical solutions for enhancing quality of life, making them a notable figure in the intersection of robotics and gerontechnology.
Research Focus
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Top Papers
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