Autonomous Path Planning for Industrial Omnidirectional AGV Based on Mechatronic Engineering Intelligent Optical Sensors

With the rapid development of modern industry, application automated mechanical and electronic technology is gradually increasing, research on automatic path planning also receiving increasing attention. In this environment technological progress, growth knowledge economy, fierce competition, industrial intelligence has become an indispensable part social development. Industrial Automated Guided Vehicle (AGV) put forward higher requirements for control in autonomous planning. Autonomous with AGV as service object currently most widely used direction production processes, best prospects highest market demand. Optimizing great significance promoting process modernization improving efficiency. order to solve problems low efficiency, excessive reliance rich experience subjective judgment relevant personnel, consumption costs traditional omnidirectional planning, article attempted introduce sensor conduct in-depth Based intelligent optical sensors combined ant colony algorithm, model was optimized, innovative experiment conducted two enterprises a certain region. Comparative analysis experimental data showed that studied had average improvement about 17.8% four evaluation indicators compared models.