Anisha Halder Roy

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About

Anisha Halder Roy is a rising researcher at the intersection of robotics, rehabilitation engineering, and deep learning. Her work centers on developing intelligent robotic systems to transform physical therapy, particularly for lower limb rehabilitation. Her most impactful contribution, "A deep learning-based comprehensive robotic system for lower limb rehabilitation" (2024, 17 citations), introduces an integrated platform that leverages artificial intelligence to automate and personalize therapy for patients with mobility impairments. She further explores the broader potential of robotics in medicine in her 2023 review, "Robotics in Medical Domain: The Future of Surgery, Healthcare and Imaging" (10 citations), which surveys how robotic technologies are reshaping clinical practice. Most recently, her 2025 paper, "EEG and EMG Induced Pain-Sensitive Learning Controller for Robotic Knee Rehabilitation Using Deep Learning" (2 citations), pioneers a novel approach that uses biosignals—electroencephalography (EEG) and electromyography (EMG)—to create a pain-sensitive control system for knee rehabilitation. This work addresses the growing prevalence of knee pain in adults, a condition that severely limits mobility and quality of life. By combining deep learning with real-time physiological feedback, Roy aims to make physiotherapy more accessible, affordable, and effective, reducing reliance on costly, expert-dependent traditional methods. Her research holds promise for improving outcomes in musculoskeletal rehabilitation.