Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Ant algorithms for discrete optimization
Artificial Life
Ant Colony Optimization
Introduction to Autonomous Mobile Robots
Introduction to Autonomous Mobile Robots
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Design and path planning for a remote-brained service robot
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Navigation for indoor mobile robot based on wireless sensor network
WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications
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In this article, the kinematics modeling for the practical robot and movement formula have been established, whose are considered by the feasibility and reliability of actual control, and controls the movement of mobile robot by the planning route, guides the robot to complete the mission. On the other hand, ant colony optimization algorithm is used to solve the robot path planning. Based on the original ant colony optimization algorithm, it modifies the route choice strategy and the pheromone updating strategy etc. according to the information provided by the global map and the mission to complete. And the experimental results on MATLAB are convinced the optimal path.