Rita Laezza is a PhD student in the Mechatronics group, focusing her research on Reinforcement Learning (RL) for robotic manipulation of deformable objects. Rita has a background in Biomedical Engineering at Chalmers, having specialized in Signals and Control, and completed her thesis on Deep Learning for myoelectric pattern recognition at the Biomechatronics and Neurorehabilitation Lab. Her goal is to deal with the manipulation of deformable objects by combining Deep Neural Networks and control policies based on RL principles. This project is running in collaboration with WASP.
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