Robot Assisted Therapy
Robot-assisted therapy (RAT) utilizes robots to deliver therapeutic interventions, primarily focusing on improving cognitive function in elderly individuals with mild cognitive impairment and assisting children with autism spectrum disorder. Current research emphasizes developing robots capable of personalized interactions, adapting their behavior based on real-time analysis of patient responses and employing machine learning techniques like LSTM networks and Q-learning to model and predict optimal therapeutic strategies. This field holds significant promise for enhancing therapeutic effectiveness and reducing therapist workload, particularly in areas with limited access to specialized care.
Papers
Learning Human Body Motions from Skeleton-Based Observations for Robot-Assisted Therapy
Natalia Quiroga, Alex Mitrevski, Paul G. Plöger
Personalised Robot Behaviour Modelling for Robot-Assisted Therapy in the Context of Autism Spectrum Disorder
Michał Stolarz, Alex Mitrevski, Mohammad Wasil, Paul G. Plöger