Research on SLAM and Path Planning Method of Inspection Robot in Complex Scenarios

Factory safety inspections are crucial for maintaining a secure production environment. Currently, predominantly performed manually on regular basis, leading to low efficiency and high workload. Utilizing inspection robots can significantly improve the reliability of these tasks. The development robot localization path planning technologies ensures that factory autonomously complete their missions in complex environments. In response application requirements inspections, this paper investigates mapping, localization, methods robots. Considering limitations cameras laser sensors due inherent characteristics, as well varying applicability different environments, proposes SLAM systems based multi-line radar visual perception diverse scenarios. To address issue tasks, hybrid algorithm combines A-star time elastic band method is introduced. This approach effectively resolves problem becoming trapped local optima subsequently enhancing Experimental results demonstrate designed satisfy scenarios, exhibiting excellent stability.