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About
P R Kumuda is a researcher at the forefront of integrating robotics and machine learning into physiotherapy and rehabilitation. Her work focuses on developing intelligent systems that enhance patient care, particularly through robotic-assisted physical therapy. In her most-cited paper, "Analysis of Robotics and Human Measurement of Physiotherapy Using Machine Learning" (2023, 2 citations), she addresses a critical gap in current technology—the lack of systems capable of exercising every finger and wrist joint. By combining robotic mechanisms with machine learning analysis, Kumuda proposes a framework that not only automates therapy but also measures human movement with precision, enabling personalized and adaptive rehabilitation. This contribution is pivotal for advancing assistive robotics in healthcare, offering new possibilities for patients with motor impairments. Her research underscores a growing intersection of engineering and medicine, positioning her as an emerging voice in the field. With her work gaining traction, Kumuda is poised to make lasting impacts on how physiotherapy is delivered, improving outcomes through data-driven, robotic solutions.
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