The National Robotics Engineering Center (NREC) is an operating unit within the Robotics Institute (RI) of Carnegie Mellon University. NREC works closely with government and industry clients to apply robotic technologies to real-world processes and products, including unmanned vehicle and platform design, autonomy, sensing and image processing, machine learning, manipulation, and human–robot interaction. NREC is led by Dr. Herman Herman, who has served as director since 2015.
NREC research objectives and approach NREC applies robotics technologies to build functional prototype systems from concept to commercialization. A typical NREC project includes a rapid proof-of-concept demonstration followed by an in-depth development and testing phase that produces a robust prototype with intellectual property for licensing and commercialization. Throughout this process, NREC applies best practices for software development, system integration, and field testing. Sponsors and partners include industrial companies, technology startups, and federal agencies such as DARPA, the Department of Transportation, NASA, the Air Force Research Laboratory, and the U.S. Army Corps of Engineers. NREC's research model is based on
Creative design and engineering on all levels and across all disciplines Rapid prototyping using in-house fabrication capabilities Collaboration with sponsors to commercialize technology
NREC history National Robotics Engineering Consortium (NREC) at Carnegie Mellon was established in 1994 with help from a $2.5 million grant from NASA. In 1994, scientists at the Carnegie Mellon Field Robotics Center realized that the mobile robotics field was mature enough for commercial application in agriculture, construction, mining, utilities, and other markets. Consequently, the National Robotics Engineering Consortium (NREC) was chartered to develop and transition robotic technology to industry and federal agencies. Original funding for the center included $2.5 million in seed funding from NASA. In 1996, the organization moved to its current facility in Pittsburgh’s Lawrenceville neighborhood and was renamed the National Robotics Engineering Center. The NREC is housed in a renovated, 100,000-square-foot foundry building on a reclaimed industrial brownfield site. The NREC provided technical support to RedZone's development of Pioneer, an autonomous mapping and reconnaissance robot developed in 1997 to explore, map, and assess the Chernobyl Sarcophagus. In February 2019, the NREC hosted the activation of the U.S. Army AI Task Force (A-AI TF).
NREC timeline
Project case studies
DARPA robotics challenge CHIMP is a human-sized robot that, when standing, is 5-foot-2-inches tall and weighs about 400 pounds. Tartan Rescue Team engineers designed CHIMP to work in dangerous, degraded environments that were built for people, not robots. CHIMP operates semi-autonomously and can plan and carry out high-level instructions given by its operator. Its near-human form, strength, precision, and dexterity enable it to perform complex, human-level tasks. CHIMP is not a dynamically balanced walking robot. Instead, it is designed to move on stable, tank-like treads incorporated into its four limbs. When it needs to operate power tools, turn valves, or otherwise use its arms, CHIMP can stand and roll on its leg treads. The robot’s long front arms (almost 5 feet) give it an ape-like appearance. CHIMP ranked third in the DARPA Robotics Challenge Trials in December 2013. Scoring 18 out of a possible 32 points during the two-day trials, the team demonstrated the system's ability to perform such tasks as removing debris, opening doors, cutting a hole in a wall, and closing a series of valves. The system was selected as one of nine eligible for DARPA funding to prepare for the DARPA Robotics Challenge Finals in 2015.
Urban challenge Carnegie Mellon University's Tartan Racing team and General Motors built an autonomous SUV that won first place in the 2007 DARPA Urban Challenge. The Urban Challenge race was held on November 3, 2007, at the Victorville training facility in California. Eleven teams competed against each other to finish a 60-mile city course in less than six hours. Their vehicles had to execute simulated missions in a mock urban area while obeying traffic laws, safely merging into moving traffic, navigating traffic circles, negotiating busy intersections, and avoiding other vehicles – all without human intervention.
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