Computer graphics and geometric modeling using Beta-splines
Computer graphics and geometric modeling using Beta-splines
Kalman filtering: theory and practice
Kalman filtering: theory and practice
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Intelligent control of nonholonomic mobile robots with fuzzy perception
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
Distributed Cooperative Outdoor Multirobot Localization and Mapping
Autonomous Robots
Intelligent Mobile Robot Navigation
Intelligent Mobile Robot Navigation
Enhanced frequency pattern of the 2-D Hartley transform for a new crop-resilient image transform
Integrated Computer-Aided Engineering
Vehicle-to-grid communication system for electric vehicle charging
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
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This paper proposes a set of navigation strategies to cooperatively localize a team of robots by applying a Particle-Filter approach. The main mission consists in exploring unknown, isolated and unstructured scenarios, where no Global Positioning System is available. By means of the cooperative localization technique and a behaviour based controller the robots have to return to the initial configuration. The proposed approach relies on distance and orientation measurements between the individual robots, and between the robots and a fixed active beacon. Simulation results are presented.