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» Memetic Algorithm Based Path Planning for a Mobile Robot
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ICRA
2007
IEEE
146views Robotics» more  ICRA 2007»
14 years 2 months ago
Crowds of Moving Objects: Navigation Planning and Simulation
Abstract— This paper presents a solution to interactive navigation planning and real-time simulation of a very large number of entities moving in a virtual environment. From the ...
Julien Pettré, Helena Grillon, Daniel Thalm...
ICTAI
2000
IEEE
14 years 5 days ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
FSR
2007
Springer
135views Robotics» more  FSR 2007»
14 years 2 months ago
State Space Sampling of Feasible Motions for High Performance Mobile Robot Navigation in Highly Constrained Environments
Sampling in the space of controls or actions is a well-established method for ensuring feasible local motion plans. However, as mobile robots advance in performance and competence ...
Thomas M. Howard, Colin J. Green, Alonzo Kelly
AROBOTS
2002
126views more  AROBOTS 2002»
13 years 8 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson
IJRR
2010
173views more  IJRR 2010»
13 years 7 months ago
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions
Path planning and trajectory design for autonomous underwater vehicles (AUVs) is of great importance to the oceanographic research community because automated data collection is b...
Ryan N. Smith, Yi Chao, Peggy Li, David A. Caron, ...