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RISTransfer Learning of Motor Difficulty Classification in Physical Human–Robot Interaction Using Electromyography
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Efficient human–robot collaboration during physical interaction requires estimating the human state for optimal role allocation and load sharing. Machine learning (ML) methods are gaining popularity for estimating the ...
Variable Stiffness Mechanism for Suppressing Unintended Forces in Physical Human–Robot Interaction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents the design of a two-degrees-of-freedom (DoFs) variable stiffness mechanism and demonstrates how its adjustable compliance can enhance the robustness of physical human–robot interaction. Compliance on ...
Variable Stiffness Mechanism for Suppressing Unintended Forces in Physical Human–Robot Interaction
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: This paper presents the design of a two-degrees-of-freedom (DoFs) variable stiffness mechanism and demonstrates how its adjustable compliance can enhance the robustness of physical human–robot interaction. Compliance on ...