首页|Zhongyuan University of Technology Researchers Reveal New Findings on Robotics ( Robot Path Planning Based on Generative Learning Particle Swarm Optimization)
Zhongyuan University of Technology Researchers Reveal New Findings on Robotics ( Robot Path Planning Based on Generative Learning Particle Swarm Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsInvestigators publish new report on robotics. Acc ording to news originating from Zhengzhou, People's Republic of China, by NewsRx editors, the research stated, "Path planning refers to finding the optimal path from the starting point to the endpoint in a given environment, avoiding obstac les." Funders for this research include Key Research Project of Higher Education Insti tutions in Henan Province. Our news editors obtained a quote from the research from Zhongyuan University of Technology: "To solve the problem of slow convergence speed in particle swarm o ptimization in path planning, this paper proposes a robot path planning based on generative learning Particle Swarm Optimization (LPSO). This algorithm construc ts a generative double-adversarial network. In the first stage, the generator wa s used to analyze and process the initial map to obtain a foreground area with f easible paths. This area is used for heuristic search of particle swarms, reduci ng unnecessary exploration areas for particles throughout the state space, and q uickly achieving path planning goals. In the second stage, the foreground region obtained in the first stage is used as the global optimal particle path for par ticle swarm optimization, and the particles are guided to move in the direction of high-density pheromones. Finally, the obstacle avoidance strategy enables the robot to avoid moving obstacles safely."
Zhongyuan University of TechnologyZhen gzhouPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMach ine LearningParticle Swarm OptimizationRobotRobotics
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