Fuzzy Motion Planning of Mobile Robots in Unknown Environments
Journal of Intelligent and Robotic Systems
Design of a fuzzy controller in mobile robotics using genetic algorithms
Applied Soft Computing
An immunological approach to mobile robot reactive navigation
Applied Soft Computing
Mobile robot navigation using motor schema and fuzzy context dependent behavior modulation
Applied Soft Computing
Fuzzy logic-based real-time robot navigation in unknown environment with dead ends
Robotics and Autonomous Systems
Multirobot object localization: a fuzzy fusion approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
Modified Newton's method applied to potential field-based navigation for mobile robots
IEEE Transactions on Robotics
Bio-mimetic trajectory generation of robots via artificial potential field with time base generator
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Adaptive evolutionary planner/navigator for mobile robots
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy behavior-based control of mobile robots
IEEE Transactions on Fuzzy Systems
Quick Design of Fuzzy Controllers With Good Interpretability in Mobile Robotics
IEEE Transactions on Fuzzy Systems
Autonomous robot navigation using adaptive potential fields
Mathematical and Computer Modelling: An International Journal
Intelligent control of a constant turning force system with fixed metal removal rate
Applied Soft Computing
Design of a grey-prediction self-organizing fuzzy controller for active suspension systems
Applied Soft Computing
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In this paper, a Petri-potential-fuzzy hybrid controller (PFHC) for obstacle avoidance and target seeking navigational behaviour of multiple mobile robots in unknown cluttered environments is presented. Based upon a reference motion, direction; distances between the robots and obstacles; distances between the robots and targets are given as inputs to the potential-fuzzy controller. In order to get the requisite information between robots, targets and obstacles each robot is equipped with an array of on board ultrasonic sensors for measuring the distances of obstacles and other robots around it and series of infrared sensors for detecting the bearing of target. To realize the controller in real sense the program is embedded in the robot for online independent navigation. In order to avoid inter robot collision each robot incorporates a set of collision prevention rules implemented as a Petri Net Model in its controller. The resulting navigation algorithm has been implemented on real mobile robots and tested in various environments. Experimental results presented demonstrate the effectiveness and improved performance of the developed controller navigation scheme.