SCTM: a self-controlled touring and movement for industrial autonomous vehicle navigation

摘要: In recent days, the smart industry concept is becoming more prominent in industrial autonomous vehicle navigation systems. The need for service reliability and management has led to various developing ideas environment. Autonomous vehicles are commonly used logistics demand-aware migration of goods within industry. this article, self-controlled touring movement (SCTM) method proposed design, plan, execute movements. goal improve output movements under controlled operating errors. For purpose, user requirement outputs identified estimated beforehand providing effective plans. This error, balancing with demands outputs, performed using classification learning wherein changes vehicle’s frequently updated. Further completion tour plan retaining operational efficiency vehicle. verified following metrics: percent changes, delay, factor, response. SCTM reduces error by 9.73% delay 17.1%, whereas it increases factor 8.3% different instances.