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Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction.

, , , , , and . SMC, page 1198-1203. IEEE, (2021)

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Transfer Learning of Motor Difficulty Classification in Physical Human-Robot Interaction Using Electromyography., , and . J. Comput. Inf. Sci. Eng., (2022)Design of a novel variable stiffness gripper using permanent magnets., , and . ICRA, page 2818-2823. IEEE, (2017)MyoTrack: Tracking Subject Participation in Robotic Rehabilitation using sEMG and IMU*., , , and . ISMR, page 1-7. IEEE, (2019)Investigation of Brain Computer Interface as a New Modality in Computer Aided Design/Engineering Systems.. University of California, Riverside, USA, (2012)base-search.net (ftcdlib:qt2004987q).Foot-mounted inertial measurement unit for activity classification., and . EMBC, page 6294-6297. IEEE, (2014)Quantitative estimation of electro-osmosis force on charged particles inside a borosilicate resistive-pulse sensor., , , , and . EMBC, page 4228-4231. IEEE, (2016)Using Brain-Computer Interfaces to Detect Human Satisfaction in Human-Robot Interaction., and . Int. J. Humanoid Robotics, 8 (1): 87-101 (2011)Editorial: Neuroergonomics in Human-Robot Interaction., , , and . Frontiers Neurorobotics, (September 2022)Classification of Motor Control Difficulty using EMG in Physical Human-Robot Interaction., , and . SMC, page 2708-2713. IEEE, (2020)Learning Robot Swarm Tactics over Complex Adversarial Environments., , , , , , , , , and 1 other author(s). MRS, page 83-91. IEEE, (2021)