The Robot Report Staff
2025-05-03 09:19:00
www.therobotreport.com

SEER outlines its digital architecture for manufacturing and logistics. Source: SEER Robotics
In the transformation toward smart factories, the efficient optimization of digital system software has become a key factor in the successful deployment of intelligent equipment like robotics. More and more enterprises are recognizing the core competitiveness of software, according to SEER Robotics.
Not only are digital systems the foundation for robot operations, but they’re also a critical tool for optimizing production processes, improving operational efficiency, and unlocking the value of data.
As an innovator in the field of smart robotics, SEER Robotics adheres to the core philosophy of “Build your own robot fleet within days!” By integrating intelligent robot scheduling, warehouse logistics, and visualization technologies, the company has developed a digital system that covers all industrial scenarios, empowering enterprises to upgrade their digital transformation paradigms.
SEER Robotics shares digital product matrix
SEER Robotics said its independently developed “digital product matrix” consists of two core modules: the M4 Smart Logistics Management System and the Visualization Series Products. They feature a modular architecture and open ecosystem with detachable, combinable, and scalable capabilities.
M4 Smart Logistics Management System
- QuickGo: A smart scheduling solution for single robots of multiple types, designed for scenarios without traffic management needs
- QuickFleet: A global intelligent scheduling solution for multiple robots and tasks
- QuickStore: A warehouse management system (WMS) specifically designed for automated logistics operations involving intelligent robots
Visualization Series Products
- Meta-Map: A two-dimensional robot map visualization product tailored for factory environments
- Meta-Map Pro: A three-dimensional robot map designed for factory environments
- Meta-World: A visualization product that accurately replicates factories 1:1 using digital twin technology
Intelligent algorithms achieve global collaboration
Using self-developed software architecture and algorithmic advantages, SEER Robotics’ M4 System integrates industrial automation and business requirements to optimize robot task allocation, path planning, and traffic control.
1. Global dynamic task allocation
For task allocation, the M4 system employs intelligent algorithms to break through traditional static task-allocation models. It dynamically combines real-time operational data such as task type, material status, robot condition, global task progress, and traffic conditions to select the optimal solution from thousands of combinations in a short time.

M4 can dynamically allocate tasks. Source: SEER Robotics
Pioneering the “Pre-order + Task Merging” model, M4 considers globally optimal task allocation from the ground up, pre-allocating tasks and automatically consolidating similar ones to reduce robot idle rates and enhance overall facility efficiency.

The M4 system can pre-allocate tasks. Source: SEER Robotics
2. Warehouse strategy engine
M4’s strategies and algorithms are deeply optimized for warehouse scenarios, offering basic storage strategies, batch outbound strategies, minimal sorting outbound strategies, forced full-out strategies, automatic empty-container strategies, bin robot port, and location-selection strategies. These features automatically match task orders with inventory, reducing shelf vacancy rates and improving inbound and outbound efficiency.

M4 is optimized for a range of storage strategies. Source: SEER Robotics
3. Multi-agent collaborative planning
For traffic control, M4 uses multi-agent collaborative planning algorithms. In scenarios with arbitrary topological structures or human interference, it enables multi-robot path searching and traffic control through dynamic global coordination planning, real-time perception of dynamic obstacles, and automatic path replanning for avoidance.
This resolves congestion issues in multi-type robots during co-line operation, ensuring that robots can effectively avoid congestion, prevent and resolve deadlocks, and maintain task continuity.

Collaborative planning algorithms ensure dynamic path planning and traffic avoidance. Source: SEER Robotics
Panoramic visualization for decision support
SEER Robotics’ digital products fully integrate visualization capabilities, providing panoramic monitoring, multi-feature fusion, and full lifecycle management for various industrial sectors. This helps factories build efficient visual information platforms and decision-making systems to precisely optimize production operations.
1. SEER enables spatial visualization
The visualization series products use 2D/3D technology to replicate factory environments and robot statuses, displaying real-time information on robots, storage locations, and goods. They synchronize task-related data for panoramic operational control, enabling quick insights and production efficiency optimization.
2. Data visualization
The M4 system’s dynamic inventory dashboard provides visual management capabilities, supporting multi-dimensional inventory analysis and one-click inbound/outbound operations, seamlessly bridging goods-to-person (G2P) and goods-to-warehouse workflows.
The scheduling system integrates 2D robot visualization, featuring 16 types of visual module charts, including robot status distribution, daily order intake, daily execution efficiency, task completion rate, and recent task anomalies. It supports customizable data dashboards, offering a clear overview of overall scheduling.

The M4 dynamic inventory dashboard supports a variety of workflows. Source: SEER Robotics
3. Risk visualization
Equipped with multi-industry solutions and risk assessment models, M4 supports scenario simulation, risk prediction, and historical backtracking to aid decision-making and avoid trial-and-error costs in real-world applications.
An intelligent early warning system provides real-time feedback on robot anomalies through color gradients, automatically generating diagnostic reports with failure causes and solutions. This helps staff quickly locate and resolve issues, ensuring production continuity.
SEER Robotics says solutions break boundaries
1. Lightweight single-robot scheduling
QuickGo is a lightweight scheduling system tailored for single-robot operations, supporting rapid deployment of multiple robot types without additional servers or industrial personal computers, significantly reducing initial costs.
Through devices like smartphones, tablets, or computers, users can easily control robot movement, send tasks, and handle faults. It supports manual/automatic mode switching to meet complex scenario demands, asserted SEER Robotics.
2. High-security communications
For environments without wireless networks or requiring high confidentiality, SEER said the M4 system offers a stable, low-latency communication solution based on optical communication technology.
By using optical signals for robot-device interaction, the system minimizes performance overhead — CPU usage as low as 2% — with end-to-end latency lower than traditional methods. It supports multi-robot, co-line operation; dynamic path planning; and compatibility with robots, automatic doors, elevators, and other smart devices.
3. SEER provides flexible support for secondary development
The M4 system provides a low-code engine, enabling visual workflow orchestration. Users can drag and drop pre-built components to reconstruct business processes.
Beyond standard products, M4 supports customization and secondary development, including online script customization for task interfaces, event handlers, and even pre-built components. This adaptability addresses more complex business scenarios, said SEER Robotics.
By offering all-scenario smart factory solutions — from single-robot control to multi-agent collaboration, dynamic warehouse optimization to global visual decision-making — SEER Robotics said its digital solutions have empowered more than 20 industries and over 1,000 clients, driving operational efficiency improvements and leading the deep transformation of global smart factories.
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