AI Integration
Photo Credit: Carlos Ortiz, RIT
Integrating AI into reuse, remanufacturing, recovery, & Recycling
When it comes to artificial intelligence, REMADE’s work focuses on the integration of AI into recycling, remanufacturing, resource recovery and material optimization. To date, the Institute has invested in 20 AI integration projects, including those developing sorting technologies, evaluation technologies, assembly and disassembly operations technologies, design tools and identification assessment tools for remanufacturing, as well as design tools for recycling.
Our Goals
Identify applications where AI can be beneficial
Provide guidance on best approaches, methods and tools for specific applications
Pilot projects for demonstration
De-risk integration of AI into applications
Conduct AI-integration projects in collaboration with industry, academia and others
Develop training programs to support industry
Artificial Intelligence Projects
Sorting
Sorting technologies to reduce contamination and increase the economic value of scrap products/materials
Condition Assessment
Technologies to evaluate the condition of EV batteries, printed circuit boards (PCBs), and metal products/components
Assembly/Disassembly Operations
Technologies for automating the disassembly of EV batteries, cell phones, and textiles
Design for Remanufacturing
Design tools to make cores (products) more remanufacturable
Part/Feature Recognition
Tools to more accurately assess the extent of damage or identify components in cores being remanufactured
Recycling
Tools to design or improve recycling processes
