Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Introduction to AI Robotics
An efficient data-driven fuzzy approach to the motion planning problem of a mobile robot
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
A 3-level autonomous mobile robot navigation system designed by using reasoning/search approaches
Robotics and Autonomous Systems
Mobile robot navigation using motor schema and fuzzy context dependent behavior modulation
Applied Soft Computing
Robot navigation in very cluttered environments by preference-based fuzzy behaviors
Robotics and Autonomous Systems
Fuzzy logic-based real-time robot navigation in unknown environment with dead ends
Robotics and Autonomous Systems
The virtual wall approach to limit cycle avoidance for unmanned ground vehicles
Robotics and Autonomous Systems
Sensor-based fuzzy reactive navigation of a mobile robot throughlocal target switching
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A layered goal-oriented fuzzy motion planning strategy for mobile robot navigation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Brief Backstepping for nonsmooth systems
Automatica (Journal of IFAC)
A local obstacle avoidance method for mobile robots in partially known environment
Robotics and Autonomous Systems
A new hybrid navigation algorithm for mobile robots in environments with incomplete knowledge
Knowledge-Based Systems
An expert fuzzy cognitive map for reactive navigation of mobile robots
Fuzzy Sets and Systems
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A new fuzzy logic algorithm is developed for mobile robot navigation in local environments. A Pioneer robot perceives its environment through an array of eight sonar sensors and self positioning-localization sensors. While the fuzzy logic body of the algorithm performs the main tasks of obstacle avoidance and target seeking, an actual-virtual target switching strategy resolves the problem of limit cycles in any type of dead-ends encountered on the way to the target. This is an advantage beyond pure fuzzy logic approach and common virtual target techniques. In this work, multiple traps may have any shape or arrangement from barriers forming simple corners and U-shape dead-ends to loops, maze, snail shape, and other complicated shapes. Robot trajectories are demonstrated by simulation work and compared with results from other related methods to prove the robustness of this method.