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Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions., , and . CoRR, (2019)MIDAS: Deep learning human action intention prediction from natural eye movement patterns., , , , , and . CoRR, (2022)Dot-to-Dot: Achieving Structured Robotic Manipulation through Hierarchical Reinforcement Learning., , and . CoRR, (2019)Real-time Robot-assisted Ergonomics., , , , , and . ICRA, page 1975-1981. IEEE, (2019)The Response Shift Paradigm to Quantify Human Trust in AI Recommendations., , , and . CoRR, (2022)Mechanomyography based closed-loop Functional Electrical Stimulation cycling system., , , and . CoRR, (2018)I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation., , and . CoRR, (2021)Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping., and . NER, page 872-875. IEEE, (2021)Electromyography-guided and robot-assisted ergonomics.. King's College London, UK, (2017)British Library, EThOS.Embedded electro-conductive yarn for shape sensing of soft robotic manipulators., , , , , , , , and . EMBC, page 8026-8029. IEEE, (2015)