Robotics & Machine Learning Daily News2024,Issue(Jan.26) :33-34.

Data from Swiss Federal Institute of Technology Lausanne (EPFL) Provide New Insights into Robotics (Morphological Flexibility In Robotic Systems Through Physical Polygon Meshing)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :33-34.

Data from Swiss Federal Institute of Technology Lausanne (EPFL) Provide New Insights into Robotics (Morphological Flexibility In Robotic Systems Through Physical Polygon Meshing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Lausanne, Switzerland, by NewsRx correspondents, research stated, “Shape-changingrobots adapt their own morphology to address a wider range of functions or environments than is possiblewith a fixed or rigid structure. Akin to biological organisms, the ability to alter shape or configurationemerges from the underlying mechanical structure, materials or control methods.”

Key words

Lausanne/Switzerland/Europe/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Robots/Swiss Federal Institute of Technology Lausanne (EPFL)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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