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» Covisibility-Based Map Learning Method for Mobile Robots
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IROS
2006
IEEE
162views Robotics» more  IROS 2006»
14 years 1 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
ECAL
1999
Springer
14 years 3 hour ago
Evolution of Neural Controllers with Adaptive Synapses and Compact Genetic Encoding
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
Dario Floreano, Joseba Urzelai
INTERACTION
2009
ACM
14 years 12 days ago
RoboEarth: connecting robots worldwide
In this paper, we present the core concept and the benefits of an approach called RoboEarth which will be highly beneficial for future robotic applications in science and industry...
Oliver Zweigle, René van de Molengraft, Raf...
CICLING
2007
Springer
14 years 1 months ago
Learning for Semantic Parsing
Semantic parsing is the task of mapping a natural language sentence into a complete, formal meaning representation. Over the past decade, we have developed a number of machine lear...
Raymond J. Mooney
ICRA
2009
IEEE
110views Robotics» more  ICRA 2009»
14 years 2 months ago
Vertical line matching for omnidirectional stereovision images
We are investigating the mobile robot indoor localization and environment mapping using an omnidirectional stereovision sensor. It uses four parabolic mirrors and an orthographic ...
Guillaume Caron, El Mustapha Mouaddib