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» Active Markov localization for mobile robots
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ICML
1996
IEEE
14 years 6 months ago
Passive Distance Learning for Robot Navigation
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
Sven Koenig, Reid G. Simmons
RAS
2000
70views more  RAS 2000»
13 years 5 months ago
Feature extraction and tracking for scanning range sensors
A solution to the problem of simultaneously extracting and tracking a piecewise-linear range representation of a mobile robot's local environment is presented. The classical ...
Nick E. Pears
IJCAI
2007
13 years 7 months ago
MESH-Based Active Monte Carlo Recognition (MESH-AMCR)
In this paper we extend Active Monte Carlo Recognition (AMCR), a recently proposed framework for object recognition. The approach is based on the analogy between mobile robot loca...
Felix von Hundelshausen, Hans-Joachim Wünsche...
IROS
2006
IEEE
177views Robotics» more  IROS 2006»
13 years 11 months ago
Robust Mapless Outdoor Vision-Based Navigation
Abstract— This article presents an efficient and mature visionbased navigation algorithm based on a sensory-motor learning. Neither Cartesian nor topological map is required, bu...
Christophe Giovannangeli, Philippe Gaussier, Gael ...
MIRRORBOT
2005
Springer
154views Robotics» more  MIRRORBOT 2005»
13 years 11 months ago
Spatial Representation and Navigation in a Bio-inspired Robot
Abstract. A biologically inspired computational model of rodent representation–based (locale) navigation is presented. The model combines visual input in the form of realistic tw...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...