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EUROS
2008
113views Robotics» more  EUROS 2008»
13 years 9 months ago
Measuring Motion Expressiveness in Wheeled Mobile Robots
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
João Sequeira
RAS
2000
70views more  RAS 2000»
13 years 7 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
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
14 years 1 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...
IROS
2009
IEEE
212views Robotics» more  IROS 2009»
14 years 2 months ago
3D feature based mapping towards mobile robots' enhanced performance in rescue missions
— This paper presents a feature based 3D mapping approach with regard to obtaining compact models of semistructured environments such as partially destroyed buildings where mobil...
Paloma de la Puente, Diego Rodríguez-Losada...
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 2 months ago
Multi-robot SLAM using M-Space feature representation
This paper presents a SLAM algorithm for a team of mobile robots exploring an indoor environment, described by adopting the M-Space representation of linear features. Each robot so...
Daniele Benedettelli, Andrea Garulli, Antonio Gian...