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About

Bikranta Adhikari is pioneering the future of robotic rehabilitation through intelligent automation. His research focuses on multi-patient, multi-robot rehabilitation gyms—innovative environments where several patients can train simultaneously under minimal therapist supervision. Adhikari’s core contributions lie in developing automated systems for dynamic patient-robot task assignment and scheduling, transforming how rehabilitation resources are allocated in real-time. His work demonstrates that by leveraging domain expert knowledge and stochastic simulation models, these systems can significantly improve training outcomes and operational efficiency in group therapy settings. With his most cited papers each garnering 8 citations, including "Automated patient-robot assignment for a robotic rehabilitation gym" and "Learning Skill Training Schedules From Domain Experts," Adhikari has established foundational frameworks for this emerging field. His 2022 and 2023 studies provide critical simulation-based evidence that automated assignment strategies can outperform static schedules, paving the way for scalable, data-driven rehabilitation gyms. For students and researchers, Adhikari’s work represents a vital intersection of robotics, healthcare, and artificial intelligence—offering a glimpse into a future where technology enables more accessible, personalized, and effective neurological rehabilitation.