首页|Researchers at Qassim University Report Research in Robotics (Intelligent contro ller design of an autonomous system using a social spider optimizer for path nav igation and obstacle avoidance)
Researchers at Qassim University Report Research in Robotics (Intelligent contro ller design of an autonomous system using a social spider optimizer for path nav igation and obstacle avoidance)
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
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on robotics. Acc ording to news originating from Buraydah, Saudi Arabia, by NewsRx editors, the r esearch stated, "This research paper proposes a hybrid fuzzy logic controller fo r achieving autonomous path navigation and obstacle avoidance through the use of the Social Spider Optimizer algorithm." The news reporters obtained a quote from the research from Qassim University: "T he proposed controller employs kinematic modelling to determine the mobile robot 's path navigation and utilizes a fuzzy logic system for effective control. The Social Spider Optimizer algorithm optimizes the parameters of the fuzzy controll er, while the FLC is responsible for obstacle avoidance. The effectiveness of th e proposed controller has been analyzed, and a comparative study has been carrie d out with optimization techniques like particle swarm optimization (PSO) and cu ckoo search optimization (CSO) controllers. The study aims to propose a hybrid fuzzy logic controller, that provides efficient navigation and obstacle avoidance for mobile robots. In a simulation, the starting point is considered as (0,0) a nd the destination point is set as Xk = 1.1 and Yk = 1.2. The performance of the proposed method is compared with FLC and methods like PSO and CSO."
NETL
NSTL
