Rita Molle
Papers
4
Total Citations
12
H-Index
3
About
Dr. Rita Molle is at the forefront of a transformative intersection: artificial intelligence and robot-aided physical rehabilitation. Her research focuses on developing intelligent, adaptive robotic systems for upper limb motor recovery, a critical area given the prevalence of motor disorders and the shortage of therapists. Dr. Molle’s major contributions lie in creating data-driven AI methodologies that move beyond static, expert-tuned control. Her pioneering work, including the AI-CARE framework and an online reinforcement learning method based on Q-learning, enables robotic platforms to autonomously adapt key parameters during therapy, personalizing treatment in real-time without complex manual intervention. She has also systematically explored the priority parameters in physiotherapist decision models to better tailor rehabilitation programs. Her most-cited paper, a systematic review on AI in upper limb rehabilitation (2025, 4 citations), establishes the foundational landscape for this emerging field. By bridging AI with clinical practice, Dr. Molle is not only advancing the science of rehabilitation robotics but also paving the way for more accessible, consistent, and customized therapy for countless patients.
Research Focus
Key Achievements
Top Papers
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