首页|Researchers at University of Technology Publish New Study Findings on Robotics (Obstacle Avoidance and Path Planning of a Wheeled Mobile Robot Using Hybrid Algorithm)
Researchers at University of Technology Publish New Study Findings on Robotics (Obstacle Avoidance and Path Planning of a Wheeled Mobile Robot Using Hybrid Algorithm)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Research findings on robotics are discussed in a new report. According to news reporting originating from Baghdad, Iraq, by NewsRx correspondents, research stated, “In the mobile robot workplace, the path planning problem is crucial. Robotic systems employ intelligence algorithms to plan the robot’s path from one point to another.” The news editors obtained a quote from the research from University of Technology: “This paper proposes the fastest and optimal path planning of the wheeled mobile robot with collision avoidance to find the optimal route during wheeled mobile robot navigation from the start point to the target point. It is done using a modern meta-heuristic hybrid algorithm called IPSOGWO by combining Improved Particle Swarm Optimization (IPSO) with Grey Wolf Optimizer (GWO). The principal idea is based on boosting the ability to exploit in PSO with the exploration ability in GWO to the better-automated alignment between local and global search capabilities towards a targeted, optimized solution. The proposed hybrid algorithm tackles two objectives: the protection of the path and the length of the path. During, Simulation tests of the route planning by the hybrid algorithm are compared with individual results PSO, IPSO, and GWO concepts about the minimum length of the path, execution time, and the minimum number of iterations required to achieve the best route. This work’s effective proposed navigation algorithm was evaluated in a MATLAB environment.”
University of TechnologyBaghdadIraqAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRobotics
NETL
NSTL
