Papers
12
Total Citations
244
H-Index
7
About
Alyssa Kubota is a human-robot interaction researcher whose work sits at the intersection of assistive robotics, healthcare, and intelligent systems. Her research spans three primary domains: cognitively assistive robots for neurorehabilitation, human activity recognition in safety-critical environments, and accessible robot programming frameworks. Kubota has made significant contributions to healthcare robotics, developing systems like CARMEN and pioneering design frameworks for translating clinical interventions into home-based robotic care for individuals experiencing cognitive decline from stroke or dementia. Her work on coordinating clinical teams (57 citations) highlights the critical role communication breakdowns play in preventable patient deaths, positioning robotics and HRI as potential solutions. Her JESSIE system (48 citations) democratizes robot programming by enabling novice users to define complex robot behaviors through high-level specifications, a contribution that extends meaningfully to including people with mild cognitive impairment in HRI research. Her activity recognition research, leveraging wearable EMG and inertial sensors, has advanced how robots perceive and respond to human partners in manufacturing and other high-stakes settings (40 citations). With over 230 cumulative citations, Kubota's body of work reflects a deeply human-centered philosophy — building robots that are not merely functional, but genuinely responsive to the diverse needs of the people they serve.
Research Focus
Key Achievements
Top Papers
- 1Coordinating Clinical Teams57 citations · 2019
- 2JESSIE48 citations · 2020
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- 4Methods for Robot Behavior Adaptation for Cognitive Neurorehabilitation26 citations · 2021
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- 8A Robot-based Gait Training System for Post-Stroke Rehabilitation7 citations · 2021
- 9Get SMART6 citations · 2023
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