Robotics & Machine Learning Daily News2024,Issue(Feb.2) :37-38.DOI:0.1126/scirobotics.adi2746

Data on Programmable Matter Detailed by a Researcher at NASA Ames Research Center (Ultralight, strong, and self-reprogrammable mechanical metamaterials)

Robotics & Machine Learning Daily News2024,Issue(Feb.2) :37-38.DOI:0.1126/scirobotics.adi2746

Data on Programmable Matter Detailed by a Researcher at NASA Ames Research Center (Ultralight, strong, and self-reprogrammable mechanical metamaterials)

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Abstract

2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on programmable matter have been presented. According to news originating from Moffett Field, California, by NewsRx editors, the research stated, “Versatile programmable materials have long been envisioned that can reconfigure themselves to adapt to changing use cases in adaptive infrastructure, space exploration, disaster response, and more.” The news editors obtained a quote from the research from NASA Ames Research Center: “We intro- duce a robotic structural system as an implementation of programmable matter, with mechanical perfor- mance and scale on par with conventional high-performance materials and truss systems. Fiber-reinforced composite truss-like building blocks form strong, stiff, and lightweight lattice structures as mechanical metamaterials. Two types of mobile robots operate over the exterior surface and through the interior of the system, performing transport, placement, and reversible fastening using the intrinsic lattice periodicity for indexing and metrology. Leveraging programmable matter algorithms to achieve scalability in size and complexity, this system design enables robust collective automated assembly and reconfiguration of large structures with simple robots. We describe the system design and experimental results from a 256-unit cell assembly demonstration and lattice mechanical testing, as well as a demonstration of disassembly and reconfiguration.”

Key words

NASA Ames Research Center/Moffett Field/California/United States/North and Central America/Emerging Technologies/Machine Learning/Nano-robot/Nanotechnol- ogy/Programmable Matter/Robotics

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2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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