Decentralized Navigation Functions for Multiple Robotic Agents with Limited Sensing Capabilities
Journal of Intelligent and Robotic Systems
Closed loop motion planning of cooperating mobile robots using graph connectivity
Robotics and Autonomous Systems
Robot team coordination for target tracking using fuzzy logic controller in game theoretic framework
Robotics and Autonomous Systems
Robotics and Autonomous Systems
Decentralized receding horizon control for large scale dynamically decoupled systems
Automatica (Journal of IFAC)
Distributed receding horizon control for multi-vehicle formation stabilization
Automatica (Journal of IFAC)
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In this paper the problem of the autonomous navigation of a cooperative robot formation is studied. Robots navigate in an unknown environment, encumbered by obstacles which have a circular shape or which can be modeled by polygons. Robots must move between an initial known position and a final known position. While going ahead robots discover the obstacles which block their passage and must avoid the collision and go to their final destination. This paper tackles two problems: 1 path planning, which is described as an optimal control problem under constraints (robot physical limits, collision avoidance). 1 localization, in order to plan its trajectory, the robot has to know its localization in the environment : a mono-landmark algorithm of localization in 2D is proposed. This mono-landmark algorithm tracks a landmark during the navigation and uses it to localize the robot in an algebraic framework.