Robotics & Machine Learning Daily News2024,Issue(MAY.30) :106-107.

Findings from Leibniz University Hannover in Robotics Reported (Sponge: Open-sou rce Designs of Modular Articulated Soft Robots)

Robotics & Machine Learning Daily News2024,Issue(MAY.30) :106-107.

Findings from Leibniz University Hannover in Robotics Reported (Sponge: Open-sou rce Designs of Modular Articulated Soft Robots)

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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. According to news reporting originating from Hannover, Germany, by NewsR x correspondents, research stated, "Soft-robot designs are manifold, but only a few are publicly available. Often, these are only briefly described in their pub lications." Financial support for this research came from German Research Foundation (DFG). Our news editors obtained a quote from the research from Leibniz University Hann over, "This complicates reproduction and hinders the reproducibility and compara bility of research results. If the designs were uniform and open source, validat ing researched methods on real benchmark systems would be possible. To address t his, we present two variants of a soft pneumatic robot with antagonistic bellows as open source. Starting from a semi-modular design with multiple cables and tu bes routed through the robot body, the transition to a fully modular robot with integrated microvalves and serial communication is highlighted. Modularity in te rms of stackability, actuation, and communication is achieved, which is the cruc ial requirement for building soft robots with many degrees of freedom and high d exterity for real-world tasks. Both systems are compared regarding their respect ive advantages and disadvantages."

Key words

Hannover/Germany/Europe/Emerging Tech nologies/Machine Learning/Nano-robot/Robot/Robotics/Leibniz University Hann over

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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