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New Projects at the Robotics Institute
Intelligent Electrocardiogram
An intelligent portable electrocardiogram (ECG) will automatically diagnose arrhythmias that could lead to sudden cardiac death (SCD).
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.
Enhanced Teleoperation (Mini SACR)
NREC developed a real-time 3D video system to improve situation awareness in teleoperation and indirect driving.
Enhanced Teleoperation (SACR)
NREC’s miniaturized SACR (Situational Awareness Through Colorized Ranging) system fuses video and range data from a small panoramic camera ring and scanning LADAR sensor to provide photo-realistic 3D video and panoramic video images of an EOD (explosive ordnance disposal) robot’s surroundings.
Sensabot Inspection Robot
NREC is developing an inspection robot for use in oil and gas production plants.
A Multi-Layered Display with Water Drops
With a single projector-camera system and a set of linear drop generator manifolds, we have created a multi-layered water drop display that can be used for text, videos, and interactive games.
Cargo UGV
NREC is teaming with Oshkosh Defense to develop autonomous unmanned ground vehicle technologies for logistics tactical wheeled vehicles used by the US Marine Corps.
Cargo UGV OCU
The Cargo UGV operator control unit (OCU) seamlessly controls one or more Cargo UGVs traveling in convoy formation.
Autonomous Robotics Manipulation
Carnegie Mellon’s Autonomous Robotic Manipulation (ARM-S) team develops software that autonomously performs complex manipulation tasks.
Computer Vistion Clinical Monitoring
NREC and Columbia University researchers investigated whether computer vision could be used to monitor patients in clinical trials for spinal muscular atrophy (SMA) therapies.
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.
Drug Discovery System
An advanced computer vision system identifies and classifies the behavioral effects of new drug compounds, speeding the work of drug discovery.
Negative Obstacle Detection
NREC is developing a perception system to accurately detect negative obstacles in the path of an unmanned vehicle (UGV).
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.
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.
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.
Project LISTEN\'s Reading Tutor
Project LISTEN's Reading Tutor listens to children read aloud.
Visual Yield Mapping with Optimal and Generative Sampling Strategies
This research project aims to develop methods to automatically collect visual image data to infer, estimate and forecast crop yields -- producing yield maps with high-resolution, across large scales and with accuracy. To achieve efficiency and accuracy, statistical sampling strategies are designed for human-robot teams that are optimal in the number of samples, location of samples, cost of sampling and accuracy of crop estimates.