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Deep Reinforcement Learning Control of an Autonomous Wheeled Robot in a Challenge Task: Combined Visual and Dynamics Sensoring.

, , , , , and . ICAR, page 368-373. IEEE, (2019)

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Planning and control system for an anthropomorphic grippers., , and . IROS, page 1724-1729. IEEE, (2002)Environment Exploration for Impedance Control Based Manipulators: Initial Experimental Study on Object Position Detection with Stable Contact., , and . LARS/SBR, page 109-115. IEEE, (2015)Visual Localization and Mapping in Dynamic and Changing Environments., , , , , , and . CoRR, (2022)Evolutionary Algorithms for a Better Gaming Experience in Rehabilitation Robotics., , , and . Comput. Entertain., 16 (2): 4:1-4:15 (2018)Robotic platform for telerehabilitation studies based on unity game engine., , , , and . SeGAH, page 1-6. IEEE Computer Society, (2014)Serious game development for Ankle rehabilitation aiming at user experience., , and . BioRob, page 1007-1012. IEEE, (2016)Understanding the Implementation of Impedance Control in Industrial Robots., , , , and . LARS/SBR, page 269-274. IEEE, (2016)EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers., , , , , , , , , and . CoRR, (2022)Knowledge Discovery strategy over patient performance data towards the extraction of hemiparesis-inherent features: A case study., , , , , and . BioRob, page 717-722. IEEE, (2016)Online prediction of threading task failure using Convolutional Neural Networks., , , , and . IROS, page 2056-2061. IEEE, (2018)