Robots have become an important tool for enterprises to improve efficiency and optimize production processes. However, many enterprises tend to fall into a misunderstanding when introducing robots: focusing more on hard power, such as the performance of robots and their intelligent hardware devices, while neglecting the importance of robot management systems. Why Do Highly Intelligent Robots Still Require a Management System?In fact, a good and stable robot management system is essential to give full play to the robot&#x27;s performance and improve overall productivity. In the age of manpower, managers need to rationally arrange the work of each worker according to the urgency of the task, workload, resource allocation, and other factors to ensure that overall efficiency is maximized. The introduction of robots has brought us into the age of automation. However, how to schedule which tasks each robot performs and maximize efficiency is far from achievable by relying on managers. The robot management system, based on algorithmic management, can check thousands of permutations and combinations in a very short period of time to select the optimal strategy and assign tasks to robots, thus realizing the optimal use of resources. SEER Robotics&#x27;s M4 Smart Logistics Management System is a robot-centered system designed for automated and intelligent logistics management within the enterprise. It innovatively combines the robot scheduling system and the business system into a single one to provide customers with one-stop management services. Why Design a Robot-Centered Business System?M4 Smart Logistics Management System is specifically designed for robots, aiming to truly utilize the effectiveness and advantages of robots. Take the case of the bin robots with more complex business logic as an example; when they carry out continuous pick-and-place cargo, the traditional business system tends to give the entire horizontal row of continuous pick-and-place cargo task instructions from the perspective of manual operation. This is more convenient for manual operation, but for the container robot, it may lead to unnecessary repeated movement, thus reducing operational efficiency.<div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/67c7b5f15294be0030b450ac.png" width="850px" style="width:850px"/></div> In contrast, the M4 system takes into account the characteristics and task requirements of the bin robots. When issuing continuous pick-and-place tasks, it will arrange for the robot to be fixed in one position to complete several consecutive columns of tasks. In addition, when picking up and placing goods in the warehouse, it will also consider picking up the empty/delivering the full, trying to schedule robots to perform the task every time it moves or waybill. This maximizes the resource use and efficiency. Why Do We Combine “Scheduling + Business” to Make an All-In-One System?The robot management system is divided into two layers: the lower layer is the robot scheduling system, which is responsible for real-time scheduling and task allocation of robots. The upper layer is the robot business system, which is responsible for overall business process management. Traditionally, scheduling and business systems are separated, resulting in the need for customers to purchase and integrate multiple systems when selecting and implementing solutions. It not only increases costs but also enhances complexity and maintenance difficulties. The M4 system combines scheduling and business systems to deliver a one-stop solution to all the challenges. In addition, based on the core architecture designed specifically for robots, the algorithms within the M4 system, such as order consolidation, delivery control, tailing consolidation, and inventory allocation, are more in line with the logic of the robot&#x27;s business. They are truly able to optimize the production efficiency of the entire plant from the perspective of global information. In a multi-robot collaboration scenario, if the scheduling and business systems are independent of each other, there may be a situation where a robot in a blocked state is selected to perform tasks, resulting in other idle robots having to collaborate to start the task, which results in a waste of resources. In M4, the business and scheduling systems communicate with each other to accurately determine which robots are best suited to perform a particular task and then efficiently assign tasks accordingly, effectively avoiding this problem and ensuring optimal utilization of robot resources. Why is M4 the Preferred Choice for Robot Management Systems?In order to make the use of robots without any thresholds, the digital system of SEER Robotics not only emphasizes the principles of powerful function and single easy-to-use but also has more openness. M4 system has an industry-leading low-code engine for robotics and intelligent logistics, which allows customers to customize product logic in a more hassle-free, low-cost, and high-efficiency way. Moreover, your internal technicians can easily modify processes for business customization, achieving the fastest business response speed.<div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/67c7b6dbf650310031b08278.png" width="850px" style="width:850px"/></div> The M4 system visually arranges business processes through Falcon Tasks to achieve more flexible, powerful, and robust customization of the main business and supports the customization of processes, basic information, documents, databases, and interfaces. Moreover, M4 supports the expansion of system capabilities through scripts to realize the needs of customers&#x27; edges. Scripts support JavaScript/TypeScript and Python languages, which provide great convenience for developers and reduce the project customization and development cycle by 50% and the cost by 50~80%. In order to further enhance the user experience, the M4 system fully supports mobile operation and is compatible with a variety of devices, including computers, smartphones, PDAs, monitors, tablets, supporting small screens, touch screens, etc. Whether in the office or on-site, users can access and manage the M4 system at any time and any place, which greatly improves the convenience and efficiency of work. To sum up, the M4 system is not only an efficient robot management system but also a powerful platform that can flexibly respond to various business needs and realize any customization and self-development. It simplifies the selection and landing of the system for the customer and greatly improves the efficiency of robot operation and the rationality of resource allocation when applied.

Why Do Highly Intelligent Robots Still Require a Management System?

In complex industrial production, how can robots realize orderly collaboration of multi-machine scale? How do they adapt to the terminal-diversified logistics scenarios? It can be solved by integrating the &quot;smart brain&quot; of automated logistics. SEER Robotics&#x27;s M4 Smart Logistics Management System, which integrates robot scheduling and business systems, provides a one-stop management service for robot-centered automated warehousing and logistics. M4 consists of five plates, including the RDS unified resource scheduling system with multi-vehicle scheduling as the core, which can meet the business needs of enterprises in different scenarios of scheduling. It provides the optimal solution for robot task allocation, route planning, traffic control, equipment docking, business system docking, and so on. In this article, we will analyze how the RDS system can improve the efficiency of factory logistics with typical scenario cases. Seamlessly Collaborates Scheduling Across Floors and RegionsIn large factories, it is increasingly common to perform tasks across multiple floors and areas, and the cooperation between robots and intelligent devices is increasing. As an intermediary, the RDS system will dock the upper-level business systems of customers to exchange data and convey tasks downwards to managing robots and other smart devices such as elevators and automatic doors. Taking the Zhejiang Tailin Bioengineering as an example, the RDS system seamlessly connects with their MES system to support the automatic distribution of tasks and the automatic execution of robots. During this process, the robot route and elevator call rhythm are automatically matched to complete cross-floor task scheduling, and it also allows customers to initiate tasks through the MES system for full process monitoring. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/67bc3fe4c7322e00381ffc2a.gif" width="850px" style="width:850px"/></div> Dynamic Global Programming for Congestion Prevention in Complex Production WorkshopsIn the equipment manufacturing workshop, the environmental conditions for multiple robots to perform tasks are even more severe, such as the narrow aisles that only allow a single vehicle to pass through and the mixed operation environment of humans and machines, making them highly susceptible to congestion and even deadlocks due to conflicting robot paths. However, the RDS system supports dynamic global collaborative planning. By analyzing the robot&#x27;s position in real-time, setting task priorities, and considering environmental changes, it can perform multi-robot path search and traffic control and dynamically adjust paths to avoid congestion. Taking WINFAT HOLDINGS LIMITED as an example, the number of intelligent forklifts totaled 44, and there were multiple human-robot interaction work scenarios. Based on the collaborative planning of multi-machine operation paths with the RDS system, dozens of robots avoided deadlocks, congestion, and other problems when working centrally, achieving a 100% accuracy rate of human-machine collaboration and an overall production efficiency improvement of 300%. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/67bc40265294be0030b450aa.gif" width="850px" style="width:850px"/></div> Pre-Ordering to Prevent Empty Loads in Warehousing and Logistics ScenariosThe resource waste caused by unloaded robots has always been a problem for most enterprises. In order to solve this problem, the RDS system innovatively introduces the modes of “hitchhiking” and “pre-ordering” to improve production efficiency. Based on the integrated evaluation function, the RDS system considers the global optimal task allocation scheme from the bottom and provides the pre-order mode for the round-trip transportation from the warehouse to the production line. It prioritizes assigning waybills to robots that are about to complete their tasks. For the multi-storage robots, such as the container robots, it provides the “hitchhiking” mode, which allows them to pick up and place their goods at the nearest warehouse to prevent robots from running empty and increase the tempo. Take Chinawrr as an example; after the storage center landed on the automated pallet warehouse project, managers can more accurately understand the dynamics of the area based on the real-time data of the RDS system, which facilitates the dynamic adjustment of the task allocation of the inbound and outbound warehouses, and the overall transport efficiency has been greatly improved. It realizes the inbound and outbound warehousing of 290 pallets/hour unilaterally, and the storage capacity has been increased by 20%. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/67bc4045c7322e00381ffc2b.gif" width="850px" style="width:850px"/></div> Beat Simulation for More Accurate ProductionIn the electronics and other precision manufacturing industries, accurate control of production beats is the key to improving production efficiency and product quality. How to accurately assess the production cycle and determine the number of robots required is the first consideration for enterprises to implement robots. RDS system allows to build simulation beats in ten minutes. It creates simulation tasks through the Tianfeng task system, adds the number of robots dynamically, and supports random library and concurrent design to simulate production scenarios in real life, facilitate timely adjustments, and make the most accurate evaluations. RDS system supports the simultaneous simulation of hundreds of robots operating scenarios, thousands of tasks at the same time, the simulation results can be directly applied to the real business. For example, the Swedish factory of Electrolux, a world-renowned home appliance company, uses the RDS system to conduct simulation of robot and system interfacing, troubleshoot business logic, optimize multi-system communication and production beat problems. They successfully land the robots to optimize the production process from semi-finished products to finished product transportation. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/67bc406bf650310031b08275.gif" width="850px" style="width:850px"/></div>