The map-building and exploration strategies of a simple sonar-equipped mobile robot
The map-building and exploration strategies of a simple sonar-equipped mobile robot
Learning metric-topological maps for indoor mobile robot navigation
Artificial Intelligence
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Autonomous ground vehicle path tracking
Journal of Robotic Systems
Decentralized control of E'GV transportation systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Evaluation of automatic guided vehicle systems
Robotics and Computer-Integrated Manufacturing
The focussed D* algorithm for real-time replanning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Programming multirobot applications using the ThinkingCap-II Java framework
Advanced Engineering Informatics
Integrating grid-based and topological maps for mobile robot navigation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Constructing maps for mobile robot navigation based on ultrasonic range data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Real-time map building and navigation for autonomous robots inunknown environments
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Modelling and Simulation in Engineering
Improvement of vision guided robotic accuracy using Kalman filter
Computers and Industrial Engineering
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The research presented in this paper approaches the issue of navigation using an automated guided vehicle (AGV) in industrial environments. The work describes the navigation system of a flexible AGV intended for operation in partially structured warehouses and with frequent changes in the floor plant layout. This is achieved by incorporating a high degree of on-board autonomy and by decreasing the amount of manual work required by the operator when establishing the a priori knowledge of the environment. The AGV's autonomy consists of the set of automatic tasks, such as planner, perception, path planning and path tracking, that the industrial vehicle must perform to accomplish the task required by the operator. The integration of these techniques has been tested in a real AGV working on an industrial warehouse environment.