Benjamin A. Miller
Papers
5
Total Citations
28
H-Index
4
About
Benjamin A. Miller is a leading researcher in the field of rehabilitation robotics, specializing in multi-patient, multi-robot systems designed to enhance post-neurological injury therapy. His work focuses on developing automated patient-robot task assignment and scheduling algorithms, using simulation models and inverse reinforcement learning to optimize training outcomes in robotic rehabilitation gyms. Miller’s key contributions include creating dynamic systems that allow a single therapist to supervise multiple patients simultaneously, improving both efficiency and rehabilitation effectiveness. His most-cited papers, such as “Automated patient-robot assignment for a robotic rehabilitation gym” (8 citations) and “Learning Skill Training Schedules From Domain Experts for a Multi-Patient Multi-Robot Rehabilitation Gym” (8 citations), demonstrate significant impact in advancing scalable, data-driven therapy solutions. By learning from domain experts and integrating stochastic modeling, Miller’s work bridges the gap between clinical expertise and robotic automation, paving the way for more accessible, high-quality rehabilitation. His research is instrumental in transforming group therapy settings, making robotic gyms a viable, cost-effective option for stroke and injury recovery.
Research Focus
Key Achievements
Top Papers
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