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Learning for Autonomous Navigation.

Authors :
BAGNELL, JAMES ANDREW
BRADLEY, DAVID
SILVER, DAVID
SOFMAN, BORIS
STENTZ, ANTHONY
Source :
IEEE Robotics & Automation Magazine; Jun2010, Vol. 17 Issue 2, p74-84, 11p
Publication Year :
2010

Abstract

The article focuses on the Crusher autonomous system designed to allow robots to navigate through unstructured terrain. It states that getting a robot to move from point A to B on a non-flat environment with many obstacles is a challenge, resulting in many advances. One such was developed by the U.S. Defense Advanced Research Projects Agency (DARPA), which created the UGCV-Perceptor Integration (UPI) program. The development of UPI as a guidance system for Crusher is discussed in detail.

Details

Language :
English
ISSN :
10709932
Volume :
17
Issue :
2
Database :
Complementary Index
Journal :
IEEE Robotics & Automation Magazine
Publication Type :
Academic Journal
Accession number :
51372083
Full Text :
https://doi.org/10.1109/MRA.2010.936946