Smart Factory Solutions

In order to truly implement smart factory solutions, the core technical stakeholders such as IT directors, automation engineers and OT project leaders must first tackle three tough problems: compatibility of old equipment, collaboration of multiple robot fleets, and global visibility of data.

The most reliable solution is actually to build a standardized, controller-driven automation layer on the bottom layer, and then add a low-code scheduling engine on the top layer. A common AMR controller is deployed directly on mobile devices and coordinated through an intelligent robot scheduling system and a unified intelligent logistics management system. In this way, you can easily bridge the gap between physical devices and enterprise-grade MES/ERP systems. Combined with 3D digital twin visualization technology, this architecture can enable completely different mobile devices such as jacking AMR and unmanned forklifts to run safely under the same platform, truly realizing the integration of OT and IT, and gradual system upgrades without production downtime.

Resolving Legacy Compatibility with AMR Controllers

In the vast majority of factories today, those early old equipment and a variety of non-standard hardware are the biggest stumbling blocks in digital transformation. Automation engineers battle the ever-changing communication protocols, closed-source hardware interfaces, and older PLCs that simply can’t transmit data directly over modern networks every day. Deploying a universal AMR controller directly from the machine level is currently the most direct and effective method. By installing these specialized controllers directly on mobile devices, factories can build a standardized set of upper layers “controller-driven automation layer”.

Protocol standardization: The universal controller plays the role of “body translation”. It uniformly converts those broken-down industrial protocols into a standard common data format, allowing those old devices to communicate smoothly with modern networks.

Decoupled hardware: With a unified control core, the brand and mechanical design of the underlying robot chassis become less important. Engineers can use the same set of navigation and control logic to deal with all different mobile devices, and later maintenance and training can save a large part of the effort.

Edge Intelligence: Because positioning and security algorithms run directly on the device, the machine is less dependent on the often unstable wireless network in the factory. Even if Wi-Fi occasionally goes down, how the device should operate or not, it will not lead to a direct strike.

Hybrid Fleet Scheduling with Low-Code RDS and M4

After standardizing the hardware, the next challenge is how to make multiple robots work together. In actual production or warehouse scenarios, a robot alone is basically unplayable. In order to handle different loads and tasks, factories often have to arrange a “hodgepodge” fleet: both low-level jacking AMRs for handling material boxes and heavy-duty unmanned forklifts for handling pallets. To keep these guys of completely different sizes and speeds from clashing or fighting each other in the narrow passage, we must have a software architecture that is strong enough and layered.

This coordination mechanism is achieved through the combined efforts of the “low-code scheduling engine” and the “enterprise-level logistics system”.

Real-time scheduling layer: Robot Scheduling System
Because of the built-in low-code business process engine, OT project leaders and automation engineers only need to use simple graphical configuration or pull a few lines to interact complex business logic with robots, and there is no need to write those obscure underlying codes line by line.

Task synchronization: RDS coordinates the actions of different types of robots in real time.It can be precisely controlled and will never allow a jacking AMR and a heavy-duty unmanned forklift to squeeze into the same narrow aisle at the same time.

Peripheral device linkage: In addition to tube robots, RDS can also enable mobile fleets and hardware such as rolling shutters, elevators, and conveyor lines in factories “matching”, closing the entire physical workflow.

Enterprise Logistics Layer: M4 Intelligent Logistics Management System
On the upper level of real-time scheduling, the unified M4 system plays the role of the “general command” of the plant material flow.

Ultra-large-scale scheduling: M4 was born to handle large-scale operations. It can use optimized path planning algorithms to command hundreds of mobile devices simultaneously to find the optimal solution in the intricate factory layout.

Enterprise-level integration: M4 is a key bridge connecting the workshop and the office. By directly connecting MES and ERP, it can accurately disassemble the tall production plan on the upper floor into the logistics tasks that each vehicle in the workshop should run, ensuring that the time for material delivery is just right.

Frequently Asked Questions (FAQ)

Q1: What are the most troublesome technical pain points when implementing smart factory solutions?
A: Judging from our experience in leading projects, the three core ones are: first, the compatibility of old equipment, how to connect those old machines from more than ten years ago; second, the mixed scheduling of multiple models, how to make different robots run together safely and efficiently; third, the global transparency of data, how to intuitively focus on complex and dynamic automated processes.

Q2: How does the universal AMR controller solve the compatibility problem of old devices?
A: It directly builds a standardized “controller drive layer” on this layer of the device. It’s more like a high-level translator on the go, translating all sorts of messy industrial communication protocols into standard data formats. Moreover, it does not pick on the hardware chassis. As long as robots of different models are equipped with it, they can use the same set of control logic. This not only saves complex debugging work, but also allows them to directly run safety and positioning algorithms locally.

Q3: What is the difference in division of labor between the Robot Dispatching System and the M4 Intelligent Logistics Management System?
A: Simply put, RDS is rushed to the front line “on-site command”, using a low-code approach to solve the avoidance, cooperation, and linkage of on-site robots with hardware such as rolling shutters and elevators; while M4 is sitting in the background “Chief of the General Staff”, standing higher, responsible for managing the ultra-large-scale path planning of hundreds of robots, and directly connecting with MES and ERP systems to translate business orders into logistics tasks

Author:SEER Robotics Technology Expert

I have worked alongside industrial engineering and IT teams to guide traditional manufacturing facilities through their digital transformation journeys. My work focuses on designing practical, scalable automation architectures that bridge the gap between physical machinery and enterprise software. I believe in solving complex operational challenges through standardized control, low-code integration, and realistic visualization.