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ROBOCUP
2005
Springer
117views Robotics» more  ROBOCUP 2005»
13 years 9 months ago
Towards Eliminating Manual Color Calibration at RoboCup
Color calibration is a time-consuming, and therefore costly requirement for most robot teams at RoboCup. This paper presents an approach for autonomous color learning on-board a mo...
Mohan Sridharan, Peter Stone
AROBOTS
2007
159views more  AROBOTS 2007»
13 years 3 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
AROBOTS
2008
158views more  AROBOTS 2008»
13 years 3 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
13 years 10 months ago
Deep belief net learning in a long-range vision system for autonomous off-road driving
Abstract— We present a learning-based approach for longrange vision that is able to accurately classify complex terrain at distances up to the horizon, thus allowing high-level s...
Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco S...