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» Experiments with Robots and Sensor Networks for Mapping and ...
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AROBOTS
2008
77views more  AROBOTS 2008»
13 years 9 months ago
Extending obstacle avoidance methods through multiple parameter-space transformations
Obstacle avoidance methods approach the problem of mobile robot autonomous navigation by steering the robot in real-time according to the most recent sensor readings, being suitab...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
14 years 2 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
ROBIO
2006
IEEE
148views Robotics» more  ROBIO 2006»
14 years 3 months ago
A Dynamic MDS-Based Localization Algorithm for Mobile Sensor Networks
Abstract— In this paper, we proposed a dynamic mobilityassisted MDS-based localization algorithms for sparse mobile sensor network. For sparse networks, the assumption of the exi...
Changhua Wu, Weihua Sheng, Wen-Zhan Song
ISRR
2005
Springer
201views Robotics» more  ISRR 2005»
14 years 2 months ago
Advances in High Resolution Imaging from Underwater Vehicles
Large area mapping at high resolution underwater continues to be constrained by the mismatch between available navigation as compared to sensor accuracy. In this paper we present ...
Hanumant Singh, Christopher N. Roman, Oscar Pizarr...
CEC
2009
IEEE
14 years 3 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek