Rstream Recycling LLC received a $275,000 Project Grant award from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an autonomous waste sorting platform. The platform aims to improve landfill diversion and recycling rates for non-industrial waste streams at high-traffic venues like stadiums, universities, airports, and theme parks. Currently, waste sorting at these facilities is done manually or through expensive robotic...
This Cooperative Agreement award of $995,163 from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an autonomous waste sorting platform for decentralized pre-processing at high-traffic venues. The project aims to create a compact, high-throughput, and turnkey sorting system that leverages computer vision and machine learning to accurately identify and sort diverse waste streams, enabling improved landfill...
This Project Grant award of $2,999,999.00 from the National Science Foundation's Engineering program (CFDA 47.041) to Clarkson University supports research to develop novel cyber technologies that enable "recyclofacturing" - the custom manufacturing of products from scrap or consumer materials at metal recycling facilities. The key objectives are to advance artificial intelligence for automated CAD model generation from user specifications, provide extended reality guidance to workers,...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $119,466 to the University of Georgia Research Foundation to develop a novel robotic system capable of accurately disassembling high-precision electronic devices like cell phones, tablets, and laptops. The research aims to enable efficient recycling and remanufacturing of these devices by addressing the complexities of disassembly, which is more challenging than assembly due to the...
The National Science Foundation awarded a $100,000 CAREER grant to Worcester Polytechnic Institute (WPI) under the Engineering program (CFDA 47.041) to conduct research on leveraging the collective power of robotic grasping algorithms through meta-learning and active perception. The project aims to develop ensemble learning methods and active vision strategies to improve the reliability of robots in manipulating objects in cluttered and unstructured settings. The research outcomes will be used...
This $454,020 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support collaborative research at the University of Michigan to develop soft materials with embedded sensors, circuits, and actuators enabling a new class of intelligent soft robots. The goal is to create a soft robotic manipulator that can autonomously recognize and sort objects by their physical characteristics using only these advanced material components, without requiring...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports fundamental research at the Rochester Institute of Technology (RIT) to develop new robotic manipulation capabilities for safely and reliably handling fragile objects. The research aims to establish an understanding of the synergy between vision and touch sensing, and to create a control method based on object properties that can optimize robotic manipulation for a variety...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award in the amount of $275,000 supports the development of a computer vision system to assist in grading and sorting harvested logs for the logging industry. The project aims to create a novel computer vision system that can identify, track, and assess the quality of individual logs, providing feedback to human machine operators within brief decision timeframes. The research involves...
This $287,941 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a novel biochemical sensor technology that can quantify small plastic particles in human blood serum samples. The research project will leverage quantum-coherent light-matter interactions on engineered photonic metasurfaces to advance the analytical performance of mid-infrared absorption spectroscopy. Key objectives include: 1) developing new sensor chips, 2)...
This $646,338 National Science Foundation project grant supports research into developing new manufacturing methodologies for fiber-embedded photonic and optoelectronic architectures. Funded under the NSF Engineering program (CFDA 47.041), the five-year award to Indiana University beginning in April 2022 will generate knowledge in 3D printed glass thermal reflow, multimaterial molten fiber fluid mechanics, and confined melt phase transition science. This foundational research aims to embed...