Robotics & Machine Learning Daily News2024,Issue(Oct.1) :70-70.

Investigators at Arizona State University Describe Findings in Androids (Biomech anics-based User-adaptive Variable Impedance Control for Enhanced Physical Human -robot Interaction Using Bayesian Optimization)

Robotics & Machine Learning Daily News2024,Issue(Oct.1) :70-70.

Investigators at Arizona State University Describe Findings in Androids (Biomech anics-based User-adaptive Variable Impedance Control for Enhanced Physical Human -robot Interaction Using Bayesian Optimization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics - Androids. According to news reporting out of Tempe, Arizona, by NewsRx editors, research stated, “This paper presents a biomechanics-based, user-adapti ve variable impedance controller designed to enhance the performance of coupled human-robot systems during motion. The controller integrates the biomechanical c haracteristics of human limbs and dynamically adjusts the robotic impedance para meters-specifically damping, stiffness, and equilibrium trajectory-based on real -time estimations of the user’s intent and direction of motion.”

Key words

Tempe/Arizona/United States/North and Central America/Androids/Biomechanical Engineering/Emerging Technologies/Ga ussian Processes/Human-Robot Interaction/Machine Learning/Robot/Robotics/Ro bots/Arizona State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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