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November 2007: NREC Receives $14.4 Million to Develop and Demonstrate Next-Generation Autonomous Ground Vehicle
The new APD will be based on Crusher, whose
mobility and toughness have been demonstrated
in extensive field trials
The
US Army Tank-Automotive Research, Development and Engineering
Center (TARDEC) awarded a $14.4 million contract to develop an advanced,
autonomous, unmanned ground vehicle (UGV) to Carnegie Mellon University’s National
Robotics Engineering Center (NREC).
The TARDEC
contract funds NREC to build an updated version of the center’s successful “Crusher” UGV
as part of the Autonomous Platform Demonstrator (APD) program. Additionally, TARDEC
plans to add to the contract, on a work directive basis, additional effort for NREC
Engineers to develop an Unmanned Ground Vehicle (UGV) end-to-end control architecture
and demonstrate the viability of autonomous UGV operations in a relevant environment
as part of the Robotic Vehicle Control Architecture (RVCA) program.
“We’re
delighted that NREC will play a key role in showing how advanced autonomous vehicles
work in FCS (Future Combat Systems) settings,” said NREC Director John
Bares. “Our goal will be to develop, integrate and test a high-performance
UGV with the most up-to-date mobility and autonomy technologies.”
The new Autonomous
Platform Demonstrator will utilize lessons learned from the Crusher platform,
which was unveiled in 2006. Since then, the 6.5-ton Crusher has demonstrated
unparalleled toughness and mobility during extensive field trials in extremely
rugged terrain. The APD will make use of the latest suspension, vehicle
frame, and hybrid-electric drive technologies to improve upon its predecessor’s
performance. The enhanced mobility capabilities will push the envelope for autonomous
and semi-autonomous operation.
In the RVCA
program, NREC engineers will develop a comprehensive control architecture that
makes use of hardware and software components. The RVCA program will evaluate
where semi-autonomous UGV operations can be feasibly included in FCS. It
will also demonstrate autonomous maneuver functions by integrating RVCA onto
the APD.
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