Author: Tronserve admin
Saturday 18th September 2021 12:53 AM
AMP Robotics & Ryohshin Work on New Industrial Automation For Construction And Demolition Recycling
AMP Robotics Corp. ("AMP"), a pioneer in artificial intelligence ("AI") and robotics for the recycling industry, and Ryohshin Co. Ltd. ("Ryohshin"), a leader in waste management technology in Japan, today announced a partnership to make and sell AI-driven industrial robotics for material recovery in the Japanese Construction and Demolition ("C&D") market. The companies also announced the commercial launch of a comprehensive solution of high-performance C&D robotic systems now available in Japan.
Ryohshin and AMP co-developed a groundbreaking robotic system using the AMP Neuron™ AI platform to guide high-performance robots that recognize, sort, pick and process C&D debris for recycling. The two C&D robotic systems are called ‘AI-Benkei' and ‘AI-Musashi'.
AI-Benkei is the heavy-duty workhorse using a single-robot cell to handle heavy debris up to 40 kg, processing up to a remarkable 25 metric tons per hour. AI-Musashi is the high-speed racehorse using a tandem-robot cell that rapidly picks smaller items at an unprecedented speed of 160 pieces of material per minute, processing up to 10 metric tons per hour. The two systems combine payload and speed to form a complete solution that can operate 24/7 and process a vast array of material including metal, wood, electronics, concrete and much more.
AMP Neuron is the "eyes" and "brain" of the robotic system achieving real-time pattern recognition to identify target materials. It continuously learns by processing vast amounts of data converted from millions of images captured via its vision system. AMP Neuron recognizes different colors, textures, shapes and patterns to identify material characteristics. AMP Neuron collects all data in a material stream, providing transparency about its material composition, as well as analysis of operational productivity. Customers use this data to monitor and measure performance, while gaining critical insights to make key business decisions.
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This article is originally posted onROBOTICSTOMORROW.COM