Logistics Automation is changing due to artificial intelligence
The introduction of artificial intelligence (AI) into logistics automation amplifies AI’s impact. AI reduces errors in common semi-skilled tasks such as sorting and categorizing products. Autonomous mobile robots (AMRs), for instance, improve package delivery, including the last mile of delivery which is typically the most expensive. AI helps AMRs with route planning and feature recognition, such as people, obstacles, delivery portals, and doorways. Integrating logistics automation into any environment comes with challenges. It can be as simple as replacing a repetitive process with a powered conveyor or as complex as introducing a collaborative, autonomous robot into the workplace. When AI is added to this automation and integration process, the challenges become more complex, but the benefits also increase. The effectiveness of individual automation elements increases as the solutions become more connected and more aware of all the other stages in the process. Putting AI cl...