Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Cooperative Mobile Robotics: Antecedents and Directions
Autonomous Robots
Dynamic Motion Planning for Mobile Robots Using Potential Field Method
Autonomous Robots
Applicability of simulated annealing methods to real-time scheduling and jitter control
RTSS '95 Proceedings of the 16th IEEE Real-Time Systems Symposium
Nonlinear formation control of unicycle-type mobile robots
Robotics and Autonomous Systems
Automatica (Journal of IFAC)
Path planning for laser scanning with an industrial robot
Robotics and Autonomous Systems
Velocity planning for a mobile robot to track a moving target - a potential field approach
Robotics and Autonomous Systems
Neural network control of mobile robot formations using RISE feedback
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
ARO: A new model-free optimization algorithm inspired from asexual reproduction
Applied Soft Computing
Expert Systems with Applications: An International Journal
Applied Soft Computing
Multi-robot formation control using reinforcement learning method
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Autonomous robot navigation using adaptive potential fields
Mathematical and Computer Modelling: An International Journal
Memory-saving memetic computing for path-following mobile robots
Applied Soft Computing
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This paper presents the optimal path of nonholonomic multi robots with coherent formation in a leader-follower structure in the presence of obstacles using Asexual Reproduction Optimization (ARO). The robots path planning based on potential field method are accomplished and a novel formation controller for mobile robots based on potential field method is proposed. The efficiency of the proposed method is verified through simulation and experimental studies by applying them to control the formation of four e-Pucks robots (low-cost mobile robot platform). Also the proposed method is compared with Simulated Annealing, Improved Harmony Search and Cuckoo Optimization Algorithm methods and the experimental results, higher performance and fast convergence time to the best solution of the ARO demonstrated that this optimization method is appropriate for real time control application.