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AMP Robotics and Ryohshin partner on automation for construction recycling

AMP Robotics, a pioneer in artificial intelligence and robotics for the recycling industry, and waste management technology company Ryohshin are to make and sell AI-driven industrial robotics for material recovery in the Japanese construction and demolition market.

The companies also announced the commercial launch of a high-performance construction and demolition robotic systems now available in Japan.

Ryohshin and AMP have co-developed a robotic system using the AMP Neuron AI platform to guide high-performance robots that recognise, sort, pick and process construction and demolition debris for recycling. The two 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 25 metric tons per hour.

AI-Musashi is the high-speed racehorse using a tandem-robot cell that picks smaller items at a 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 materials including metal, wood, electronics, concrete and much more.

AMP has licensed AMP Neuron to Ryohshin for its use and sale of these robotic systems in Japan. In return, AMP will use the robotic technology developed with Ryohshin for its own next-generation AMP Cortex construction and demolition robotic system for sale in North America.

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 recognises different colours, textures, shapes and patterns to identify material characteristics. It 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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