Abstract
In the global wave of automation, logistics and manufacturing are indispensable and important industries. Among them, the related automatic warehousing system is even more urgently needed. There are quite a few cases of using robotic arms in the current industry cargo stacking operations. Traditional operations require engineers to plan the stacking path for the robotic arm. If the size of the object changes, it will take extra time to re-plan the work path. Therefore, in recent years, quite a lot of automatic palletizing software has been developed; however, none of it has a detection mechanism for stacking correctness and personnel safety. As a result, in this research, an intelligent robotic palletizer system is developed based on a self-developed symmetrical algorithm to stack the goods in a staggered arrangement to ensure the overall structure. Innovatively, it is proposed to check the arrangement status and warnings during the visual stack inspection to ensure the correctness of the stacking process. Besides, an AI algorithm is imported to ensure that personnel cannot enter the set dangerous area during the work of the robotic arm to improve safety during stacking. In addition to uploading the relevant data to the cloud database in real time, the stacking process combined database and vision system also provide users with real-time monitoring of system information.
Highlights
In recent years, with the wave of “Industry 4.0” and smart manufacturing, the structure of the global manufacturing industry has been greatly impacted
Most factories have introduced a lot of automation equipment since traditional production is no longer suitable
The robotic palletizer system proposed in this study is divided into three parts: The roboticsystem, palletizer thisthe study is divided into three parts: the the palletizing the system databaseproposed (MySQL),inand vision system
Summary
With the wave of “Industry 4.0” and smart manufacturing, the structure of the global manufacturing industry has been greatly impacted. Traditional manufacturing factories are in need of transformation and development towards digitization and intelligence. The logistics and warehousing industry is a focus in Industry 4.0 Whether it is manufacturing, logistics, e-commerce, etc., the manpower consumption can be greatly reduced by the introduction of warehousing automation. In order to expand the e-commerce market, Uniqlo has cooperated with the logistics company, Daifuku, to transform the traditional warehouse into fully automated logistics. Logistics labor costs account for 65% of the average operating budget of most warehouses. With such a high proportion, low gross profit, and huge competitive pressure, the logistics industry needs to try to find better ways to automate the warehouse process as much as possible. According to MarketsandMarkets Research, the warehouse robotics market is expected to grow from USD 4.7 billion in 2021 to USD 9.1 billion in 2026, at a CAGR of
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
