Source | Robot Headlines
Automatic guided vehicles (AGV) have become common fixtures in logistics links in some factories and warehouses. However, with the continuous upgrade of automated production lines and the continuous optimization of production processes, the application efficiency and effectiveness of AGV are being challenged by a new type of mobile robot, which is the autonomous mobile robot (AMR).
Unlike traditional AGV, AMR has the functions of autonomous movement and intelligent obstacle avoidance. AMR does not need to lay fixed rails or magnetic strips. In this way, many troubles during deployment are saved, especially when the production process is changed, it is only necessary to rebuild the map or plan the route inside the robot, thereby further saving the cost of factory deployment. Based on the advantages of AMR and the like, the equipment application square in the industry has become such a view: AMR replacing AGV is the future trend.
The gradual rise of AMR has driven the upgrade and development of the entire indoor logistics automation market. At present, some strong independent mobile robot brands have appeared on the market, such as AICRobo Robot Company, through the independently developed factory handling robot FT2 and intelligent scheduling system, to achieve flexible industrial indoor logistics solutions, and such AMR products And solutions are triggering a new round of change in production logistics.
It is reported that FT2 is an autonomous mobile robot "porter", with autonomous navigation technology as its core, intelligently planning transportation routes. It adopts multi-sensor fusion sensing technology such as lidar, depth camera, and ultrasound to enhance its spatial sensing ability, while freeing the robot from the constraints of fixed moving orbits, it also easily solves the troubles caused by the layout of production logistics.
In terms of software, the handling robot is based on the SLAM + layered map update technology, which enables it to quickly build a map of the working scene, and can easily add / change the "collection point", "delivery point", "passing restricted area", etc. . Solve the core problem of low reuse rate of production equipment and realize asset preservation.
In an actual application scenario, the delay of any one station on a high-speed production line will affect the efficiency of the entire line. Therefore, production managers must ensure efficient and stable supply of materials in each production link. At present, the speed of FT2 can reach 1.5m / s, which can provide efficient and safe material transportation. In the industry 4.0 mode, the production line may frequently change the type of product. A flexible production line is necessary. FT2 has autonomous path planning and the ability to implement point-to-point handling. Its scenario in flexible manufacturing will play an extremely important role. Great effect.
In terms of stability, a fusion positioning solution including UWB is used, and the accuracy of the secondary positioning can reach ± 5mm, which helps the robot to run stably in a complex environment of human-machine collaboration, and at the same time accurately complete the transfer and delivery of production materials.
In addition, the key to improving the efficiency of production logistics is to have a platform like Uber to control the robot group, so that the robot can implement large-scale batch tasks and collaboration. It is understood that AICRobo's self-developed dispatch center can perform real-time monitoring, task allocation, task tracking, and traffic control on robot groups. At the same time, the dispatch center can also seamlessly dock to production management systems such as MES / WMS to receive and feedback transportation tasks. To achieve the integration of robots and material distribution batches, to guide the distribution equipment from the actual distribution needs, to provide customers with systematic data analysis, to help production logistics achieve scientific distribution planning, and to achieve intelligent upgrades.
Nowadays, the trend of disappearing demographic dividend is irreversible, traditional manufacturing will lose its advantages, and intelligent manufacturing models based on robotics such as computer vision and artificial intelligence will be the core competitiveness of factories in the future. Facing the needs of a rapidly changing market, traditional factories urgently need to transform to smart factories, and use AMR to further improve automation and flexibility of production logistics in order to achieve flexible processing of small batches and multiple batches of production tasks. One step forward for "flexible" indoor logistics is to take intelligent manufacturing one step further.
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