3 Large-scale cluster operation is inevitable, and more efficient multi-machine collaboration is a trend

T8403 In practical applications, robots usually cooperate to complete specific tasks in the form of clusters. Such as: pallet handling on the platform, material storage and picking of raw materials, material handling between production lines; Pallets can be carried by unmanned forklift trucks, the storage and selection of raw materials can be carried by KIVA robots based on QR codes, and the material handling between production lines can be carried by SLAM robots.

T8403 Once hundreds or even thousands of robots are reached, simple logical thinking can no longer solve the problem, and the efficiency of the entire group cooperation can not be effectively guaranteed. At this time, the robot needs to be able to constantly learn and constantly revise its own strategy, and AI will play an important role in it, so that the entire system is constantly optimized, and the group intelligence is getting higher and higher.

T8403 When the scale of mobile robot system expands, the traditional management and scheduling system is facing more and more demanding requirements. Mobile robot management system needs to carry out efficient traffic management and task scheduling for AMR with obstacle avoidance and circumnavigation ability. Heterogeneous mobile robot systems will coexist in the same application site more and more.

Some of the new mobile robot management systems will be distributed and cloud-based, with reliable redundancy capabilities. T8403 Can support online map and policy updates to adapt to changing routes and scheduling policies; It can optimize the scheduling of mobile robots with SLAM capability, efficiently and flexibly manage the task allocation and traffic control in the system; Through certain standardized means, the coordinated operation between heterogeneous robot systems on the same site is well controlled.

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4 Isomorphic simulation, digital twin, to provide customers with one-stop service

T8403 In the process of intelligent and automated transformation, customers will go through a long decision-making chain from program conception to program design and actual investment. Usually, this decision-making process depends on the experience of designers, which may lead to a large deviation between the planning result and the actual demand, resulting in waste or delay of the construction period.

A fully functional isomorphic simulation system can avoid human bias in the design process and greatly improve the evaluation efficiency. It can provide one-stop solutions such as planning, simulation, implementation and operation to achieve homogeneous simulation and digital twin, greatly reducing the risk of robot T8403 project planning and improving operation and maintenance efficiency.

5 Application scenarios will be further expanded

Based on the further development of technology, the application scenarios of mobile robots in the future will be further expanded and will gradually penetrate into various fields and links of the manufacturing industry. With the further improvement of end customers’ demand for intelligence, there will be fewer and fewer AGV-based projects in the future. Therefore, different types of mobile robots and how to coordinate the operation of mobile robots and other automation equipment will become the key to testing the implementation ability of enterprise solutions. In addition, from indoor to outdoor, outdoor applications in semi-closed scenes such as park logistics will also be one of the directions for the development of mobile robots.

In addition to the above three views, the future industrial application of mobile robot technology will also accelerate the integration of artificial intelligence, mobile Internet, big data processing and other technologies, thereby creating new technologies, products and application models.