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National Robotics Engineering Center (NREC)
National Robotics Engineering Center
10 40th Street
Pittsburgh, PA 15201
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Current Projects [Past Projects]
 
3D Visualization for EOD Robots
NREC developed a plug-and-play camera and range finder module that gives range information and assists operators of EOD (explosive ordnance disposal) robots during manipulation.
Crusher
NREC designed and developed the Crusher vehicle to support the UPI program's rigorous field experimentation schedule.
DRC Tartan Rescue Team
During the Fukushima-Daiichi nuclear accident, robots weren’t able to inspect the facility, assess damage, and fix problems. DARPA wants to change this.
LNG Pipe Vision
A pipe-crawling robot visually inspects pipes in liquid natural gas (LNG) plants for corrosion.
Millibots
Heterogeneous group of small autonomous robots with modular payloads and sensing platforms
Paint Stripping
NREC designed, built and tested the centerpiece of a semi-automated paint removal system that is now in everyday use and available for commercial sale by Chariot Robotics, LLC.
Path Planning for Autonomous Vessel
A path planning system helps an autonomous surface vessel to navigate autonomously while obeying international maritime law.
Peat Moss Harvesting
NREC developed an add-on perception system for automating peat moss harvesting.
PerceptOR
NREC designed, developed and tested an innovative autonomous perception and navigation system for the DARPA PerceptOR program.
Perception for LS3
NREC’s sensor system for DARPA’s Legged Squad Support System (LS3) enables LS3 to perceive its surroundings and autonomously track and follow a human leader.
Pipeline Explorer
NREC designed, built and deployed Pipeline Explorer, the first untethered, remotely-controlled robot for inspecting live underground natural gas distribution pipelines.
Robotic Simulation
NREC collaborated with RAND Corporation to incorporate NREC’s field-proven robotic mobility and planning software into RAND’s suite of high-resolution, force-on-force simulators.
Row Crop Harvesting
The NREC row crop harvesting project targeted three levels of automation: “cruise control”, “teach/playback” and full autonomy.
Safety for UGVs
A flexible, behavior-based approach to safety lowers the risk of operating a large, fast-moving UGV.
Sensabot Inspection Robot
NREC is developing an inspection robot for use in oil and gas production plants.
Specialty Crop Automation
The Integrated Automation for Sustainable Specialty Crops Farming project teams the National Robotics Engineering Center (NREC), the University of Florida, Cornell University and John Deere to bring precision agriculture and autonomous equipment to citrus growers.
Spinner
With development of the Spinner unmanned ground vehicle, an NREC-led team delivered technical breakthroughs in mobility, mission endurance and payload fraction.
Strawberry Plant Sorter
NREC is developing an automated, machine vision-based strawberry plant sorter.
Stress Testing Autonomous Systems
Stress Tests for Autonomy Architectures (STAA) finds autonomy system safety problems that are unlikely to be discovered by other types of tests.
Sweep Monitoring
NREC developed the Sweep Monitoring System (SMS) for training soldiers and demining personnel to use hand-held land mine detectors.
Teleoperation Booth
NREC has developed an immersive teleoperation system that allows operators to remotely drive an unmanned ground vehicle (UGV) more effectively over complex terrain.
Temporal Segmentation of Human Motion
Temporal segmentation of human motion
Traffic Data Analysis
NREC and FHWA are developing techniques for automatically analyzing large amounts of video collected from vehicles traveling on highways.
Tree Inventory
A tree inventory system uses vehicle-mounted sensors to automatically count and map the locations of trees in an orchard.
Tunnel Mapping
NREC is pioneering research and development of a low power, small, lightweight system for producing accurate 3D maps of tunnels through its Precision Tunnel Mapping program.
Urban Challenge
Carnegie Mellon University and General Motors built an autonomous SUV that won first place in the 2007 DARPA Urban Challenge.
VANE
We are exploring a mix of physics-based and data driven high fidelity sensor modeling techniques. The goal is to develop a system that can provide much more realistic UGV simulation than current techniques. Such simulation will play a crucial role in speeding up the development cycle, and in validating platforms. Sponsored by the US ACE ERDC.
Vehicle Classifier
A vision-based vehicle classifier uses machine learning techniques to identify cars and trucks in video images.
Vehicle Safeguarding
NREC designed, developed and tested a fully autonomous system capable of following pre-taught paths while detecting and avoiding obstacles.
Vehicle Stability
NREC has developed an easy-to-implement solution to an important problem — stability margin estimation as it relates to vehicular rollover and tipover vulnerabilities.