Robotics & Machine Learning Daily News2024,Issue(Feb.1) :87-87.DOI:10.3390/robotics13010016

Study Findings on Robotics Reported by a Researcher at Bogazici University (Fiber Jamming of Magnetorheological Elastomers as a Technique for the Stiffening of Soft Robots)

Robotics & Machine Learning Daily News2024,Issue(Feb.1) :87-87.DOI:10.3390/robotics13010016

Study Findings on Robotics Reported by a Researcher at Bogazici University (Fiber Jamming of Magnetorheological Elastomers as a Technique for the Stiffening of Soft Robots)

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Abstract

Investigators discuss new findings in robotics. According to news originating from Istanbul, Turkey, by NewsRx correspondents, research stated, “There has been a notable focus on the adoption of jamming-based technologies, which involve increasing the friction between grains, layers, or fibers to achieve variable stiffness capability in soft robots.” Funders for this research include Bogazici University Research Fund; European Union’s Horizon 2020 Research And Innovation Program; Bogazici University Robotics And Ai Laboratories Project. The news editors obtained a quote from the research from Bogazici University: “Additionally, magnetorheological elastomers (MREs) that show magnetic-field-dependent viscoelasticity have great potential as a material for varying stiffness. This study proposes a hybrid method (magnetic jamming of MRE fibers) for enhancing the stiffness of soft robots, combining a jamming-based with a viscosity-based method. First, a fiber jamming structure is developed and integrated into a soft robot, the STIFF-FLOP manipulator, to prove the concept of the magnetic jamming of MRE fibers. Then, based on the proposed method, a variable stiffness device actuated by electro-permanent magnets is developed. The device is integrated into the same manipulator and the electronically controlled magnetic jamming and stiffening of the manipulator is demonstrated.”

Key words

Bogazici University/Istanbul/Turkey/Eurasia/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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