Carnegie Mellon University
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       Inactive Projects
Current Projects, Grouped by Subject
Mobile Robotics
Autonomous Ground Vehicle Design
Pursuing high speed navigation of unrehearsed terrain in pursuit of the 2005 DARPA Grand Challenge
Autonomous Navigation System (ANS)
The NREC is leading the development of perception and path planning within the Autonomous Navigation System program for the Future Combat System.
NREC designed and developed the Crusher vehicle to support the UPI program's rigorous field experimentation schedule.
Dynamic Biped
We are developing a new series of bipedal walking robots that use passive-dynamic principles.
Dynamically-Stable Mobile Robots in Human Environments
We are developing novel dynamically-stable rolling machine and walking machine research platforms to study interactions with people and operating in normal home and workplace environments.
The NREC is developing an untethered, long range (2,500 ft +), gas line visual inspection robot system that provides real-time video from inside the line, can be deployed in live lines, and can pass through all angles and bends of both 6" and 8" lines.
Footstep Planning for Biped Robots
Navigation strategies for bipeds through complex environments, planning for the full capabilities of the biped.
Formal Verification of Autonomous Systems
We are developing tools and techniques to support formal verification of autonomous systems.
The NREC-led team designed, developed and field tested and successfully demonstrated a Gladiator robotic system with high mobility and remote combat capabilities.
Inter-Process Communication Package (IPC)
We are developing a high-level support package for connecting and sending data among processes using TCP / IP sockets.
Learning Locomotion
Robust planning and control of the quadruped robot "Little Dog" to traverse rough terrain (DARPA sponsored).
LSTAT/Snake Robot
We are working with the US Army's TATRC department (Telemedicine & Advanced Technology Research Center) to integrate a snake robot into the LSTAT system.
Planning for Manipulation
Developing algorithms for autonomous manipulation.
Robot Sensor Boat (RSB)
We present a fleet of autonomous Robot Sensor Boats (RSBs) developed for lake and river fresh water quality assessment and controlled by our Multilevel Autonomy Robot Telesupervision Architecture (MARTA).
Robotic Soccer (RoboSoccer)
The RoboSoccer project develops collaboration among multiple autonomous agents.
Simultaneous Localization and Mapping
We are developing a geometric mapping strategy that directs a mobile robot to explore an unknown environment while taking into consideration sensor and encoder uncertainty.
Social Robots
We are developing robots with personality.
The Electric Cable Differential (ECD) Leg
We are designing a bipedal robot to be capable of running, walking, jumping, hopping, and generally behaving in a highly dynamic manner.
Time-optimal Vehicle Trajectories
What's the fastest way to drive a mobile robot?
Transitional Unmanned Ground Vehicle (TUGV)
Cross Country Navigation
Treasure Hunt: Pickup Teams
We are developing a single heterogeneous human-robot team capable of effectively locating objects of interest (treasure) spread over a complex, previously unknown environment.
UGCV PerceptOR Integrated (UPI)
The UPI (UGCV PerceptOR Integrated) program integrates and enhances the results from UGCV and PerceptOR to increase the speed and autonomy of unmanned ground vehicles operating in complex terrain. By combining the inherent mobility of Spinner with advanced perception techniques including the use of learning and prior terrain data, the UPI program stresses system design across vehicle, sensors and software so that the strengths of one component compensate for the weaknesses of another.
Underground Mining Operator Assist
Automating the functions of a continuous mining machine and roof bolting units.
Very Rough Terrain Nonholonomic Trajectory Generation and Motion Planning for Rovers
We are developing rough terrain trajectory generation algorithms for local path planning and optimal regional motion planning methods using a constrained search space.
Perceptual, reasoning and learning abilities in autonomous mobile robots