This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to democratize interactive robot learning to enable care partners (e.g., spouses, children, nurses) to intuitively program and personalize robot behavior to assist individuals with mild cognitive impairment (MCI) with activities of daily living. The $424,828 award to the Georgia Tech Research Corporation, acting through its Office of Sponsored Programs, will fund the development of new learning from demonstration (LFD) algorithms and interfaces to empower non-expert end-users to teach robots new skills. This research will involve open-sourcing a multimodal dataset of care partners interacting with robots, developing explainable AI techniques to foster human-robot collaboration, and creating peer-teaching LFD algorithms. The goal is to transition LFD from the laboratory to real-world applications, enabling scalable, cost-effective robot assistive technologies to support aging in place for persons with MCI.