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» Mobile Robot Localisation Using Active Vision
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ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
13 years 11 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
AROBOTS
1998
130views more  AROBOTS 1998»
13 years 7 months ago
Rough Terrain Autonomous Mobility-Part 2: An Active Vision, Predictive Control Approach
Off-road autonomous navigation is one of the most difficult automation challenges from the point of view of constraints on mobility, speed of motion, lack of environmental structur...
Alonzo Kelly, Anthony Stentz
ISVC
2009
Springer
14 years 2 months ago
Real-Time Feature Acquisition and Integration for Vision-Based Mobile Robots
In this paper we propose a new system for real-time feature acquisition and integration based on high-resolution stereo images that is suitable for mobile robot platforms with limi...
Thomas Hübner, Renato Pajarola
MVA
1998
127views Computer Vision» more  MVA 1998»
13 years 9 months ago
Enhanced Vision for the Teleoperator of an All-Terrain Fast Mobile Robot
This paper is concerned with the enhancement of the visual feedback for the teleoperator of an all-terrain fast mobile robot. Indeed, remote control trials have shown inferior mob...
Christian Tavanti, Jean Devars
RAS
1998
150views more  RAS 1998»
13 years 7 months ago
Active Markov localization for mobile robots
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...
Dieter Fox, Wolfram Burgard, Sebastian Thrun