Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Comparison of Bug Navigation Algorithms
Journal of Intelligent and Robotic Systems
A biologically inspired method for vision-based docking of wheeled mobile robots
Robotics and Autonomous Systems
Visual Navigation for Mobile Robots: A Survey
Journal of Intelligent and Robotic Systems
Wall-following control of an infrared sensors guided wheeled mobile robot
International Journal of Intelligent Systems Technologies and Applications
Curve Tracking Control for Autonomous Vehicles with Rigidly Mounted Range Sensors
Journal of Intelligent and Robotic Systems
Robust navigation in an unknown environment with minimal sensing and representation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
An Efficient Path Planning and Control Algorithm for RUAV's in Unknown and Cluttered Environments
Journal of Intelligent and Robotic Systems
Randomised MPC-based motion-planning for mobile robot obstacle avoidance
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Automatica (Journal of IFAC)
Boundary following and globally convergent path planning using instant goals
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Method of Boundary Following by a Wheeled Mobile Robot Based on Sampled Range Information
Journal of Intelligent and Robotic Systems
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We consider the problem of reactively navigating an unmanned Dubins-like robot along an equidistant curve of an environmental object based on the distance to its boundary measured perpendicularly to the robot centerline and the angle of incidence of this perpendicular to the boundary. Such a situation holds if e.g., the measurements are supplied by range sensors rigidly mounted to the vehicle body at nearly right angles, or by a single sensor scanning a nearly perpendicular narrow sector. A sliding mode control law is proposed that drives the robot at a pre-specified distance from the boundary and maintains this distance afterwards. This is achieved without estimation of the boundary curvature and holds for boundaries with both convexities and concavities. Mathematically rigorous analysis of the proposed control law is provided, including an explicit account for the global geometry of the boundary. Computer simulations and experiments with real wheeled robots confirm the applicability and performance of the proposed guidance approach.