Amp releases Cortex-C robotics system

Amp Robotics Corp., Denver, has released a complete line of artificial intelligence- (AI-) powered automation solutions for material recovery facilities (MRFs), along with a stand-alone, integrated facility solution to expand recycling infrastructure.

Amp Robotics offers its Amp Cortex-C as a compact version of its AI-guided robotics system, adapting to space constraints and bringing the company’s AI expertise and robotic technology to more facility locations. Amp’s Cortex-C features a small footprint and easy-to-install robot designed to provide MRFs and plastic reclamation facilities with a consistent sortation solution for tight locations that are tough to staff or where existing labor could be redistributed.

The Cortex-C uses Amp's robotic and AI technologies. The system offers the experiential learning of AI gained from a global fleet of more than 300 installations.

“The expertise we’ve built in recycling technology has enabled us to expand where and what we can sort so we can bring the benefits of AI-driven automation to move locations in more facilities,” says Jeremy Neigher, general manager of Amp’s technology solutions group. “We’re committed to innovating so we can deliver the latest advancements in AI and automation to our customers to increase their profitability and improve their bottom line.”

Amp says the Cortex-C also adapts to various conveyor belt sizes, angles and configurations, without the need for retrofits or downtime since Amp can complete installations over the course of a weekend with on-site support. Cortex-C shares parts and components with the standard Amp Cortex system, with similarly minimal service expectations to streamline the fleet within a facility. The system also is backed by Amp’s service and support teams.

Along with the Cortex-C, Amp is releasing its AI – Advanced Targeting (AT) algorithms to leverage machine learning to determine the optimal grip area for each item its system identifies, based on the object’s discrete material features and condition. Amp says this ability to target and guide a robot to the desired grip area increases yield by learning to avoid creases, holes and other difficult-to-grasp locations on objects.

Similar to Amp’s AI for identification of material type, these algorithms learn from experience across the fleet of machines deployed globally. The AI – AT advancement is available for all Amp Cortex and Cortex-C units.

“As demanded for automation in the waste industry continues to grow, we’ve expanded our capabilities to provide customers with solutions for both new and existing recycling facilities alike,” Amp CEO Matanya Horowitz says. “We’ve gained invaluable experience from developing best-in-class technology and deploying hundreds of systems globally, and the modern recycling infrastructure we’re creating through retrofit solutions and facility expansion is helping more economically recover valuable commodities and increase recycling rates.”

Amp is exhibiting its technology at booth No. 847 at WasteExpo 2023, May 1-4 in New Orleans.