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About

Jared Miller’s research lies at the intersection of human-robot interaction, spatial language, and assistive robotics, with a particular focus on supporting older adults. His major contributions center on developing human-driven spatial language systems that enable robots to understand and act upon natural language descriptions in real-world settings, such as an eldercare home where a robot is asked to “fetch” a misplaced object like eyeglasses. Miller’s work is distinguished by its rigorous human-subject experiments, gathering and analyzing spatial descriptions from both younger and older adults to design more inclusive robotic comprehension. His most-cited paper (2014, 15 citations) presents a corpus of spatial descriptions and a robot system for interpreting them, while his 2013 study (6 citations) tests this system with both age groups, revealing critical insights into how older adults communicate spatial information. Miller’s research has practical implications for aging-in-place technologies, and his work has been presented at venues like the ACM/IEEE International Conference on Human-Robot Interaction. By grounding robotic language understanding in real human speech patterns, Miller is helping to create assistive robots that are not only functional but genuinely responsive to the needs of an aging population.