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Robotics / Humanoid robot / Robotic mapping / Artificial intelligence / Robot / Autonomous robot / Motion planning / Simultaneous localization and mapping / Monte Carlo localization / Robot navigation / Autonomy / Mobile robot


Learning Adaptive Navigation Strategies for Resource-constrained Systems Armin Hornung1 and Maren Bennewitz1 and Cyrill Stachniss1 and Hauke Strasdat2 and Stefan Oßwald1 and Wolfram Burgard1 Abstract. The majority of na
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Document Date: 2010-10-04 04:38:39


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File Size: 1,17 MB

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City

Cambridge / New York / /

Company

Robotics & Autonomous Systems / MIT Press / Neural Processing Systems / Real Robotic Systems / Coastal / Shimizu / A. R. Cassandra L. P. / /

Country

United States / /

Facility

Stanford University / Imperial College / University of Freiburg / /

IndustryTerm

navigation algorithms / controlled car / lightweight devices / pre-processing technique / travel speed / image processing step / learning algorithms / /

Organization

Germany Department of Computing / Imperial College London / MIT / Stanford University / German Research Foundation / U.S. Securities and Exchange Commission / University of Freiburg / /

Position

return Rt / gait controller / navigation controller / learned controller / existing navigation controller / rt / level task planner / basic navigation controller / hand-optimized dualmode controller / dual-mode controller / path planner / dual-mode controller to our learned policy / hand-optimized controller / controller / xt0 Rt / /

Product

Pioneer platform / Pioneer / /

ProvinceOrState

New York / /

PublishedMedium

The International Journal / Machine Learning / /

SportsLeague

Stanford University / /

Technology

laser / artificial intelligence / navigation algorithms / GPS / ultrasound / learning algorithms / Machine learning / simulation / image processing / /

URL

http /

SocialTag