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Why 22,000 Autonomous Robots Shape the AI Strategy of Locus Robotics
.Resources are being coordinated
Locus Robotics uses "LocusONE" as a superior orchestration layer. The platform is intended to evaluate operational data from the ongoing warehouse operations and use it for managing tasks and resources.
The company mentions dynamic task allocation, load distribution, route planning, prioritization, and anomaly detection as areas of application. The software and data architecture connects people, robots, workflows, and existing systems.
Operational data from more than 360 locations
According to Locus Robotics, the models used are fundamentally based on data from real fulfillment environments. More than 22,000 autonomous robots at over 360 locations worldwide continuously generate information about orders, movements, operational statuses, and material flows.
The provider states that insights from more than eight billion actual picking operations also contribute to the further development of the systems. More than 150 customers use the solutions to support over 1,000 brands worldwide. The data foundation reflects different operational situations. These include peak loads, changing order priorities, different warehouse layouts, varying walking paths, bottlenecks, and interactions between people, robots, and processes.
Models specifically for warehouse environments
According to Locus Robotics, they rely on models specifically developed for warehouse environments and trained with data from real distribution centers. The systems are intended to capture, among other things, warehouse shelves, industrial trucks, pallets, containers, traffic routes, work zones, and typical obstacles.
Based on this foundation, applications such as object recognition, semantic segmentation, visual localization, and environmental perception are planned. Additionally, there is context-based support for operational decisions.
Array Connects Control and Gripping Technology
With the automation solution "Array," Locus Robotics extends the use of artificial intelligence to the physical handling of goods. The system combines robotic execution, AI-supported control, and gripping technology. Array integrates Nexera's Neura-Grasp technology for this purpose. According to the announcement, the solution is designed to automate a wide range of items and thus further automate the steps of order picking.
The integration is carried out via "LocusONE." The platform coordinates the robot fleet, workflows, and involved resources. This connects the company’s data processing and decision-making with the physical execution of fulfillment tasks.
Agent-Based Systems in Development
As a further development stage, Locus Robotics envisions agent-based applications of artificial intelligence. Specialized systems could, for example, analyze data from robot fleets, recognize operational contexts, and identify anomalies. Moreover, they should be able to support teams in root cause analysis and problem-solving.
According to the company, these approaches are still mostly in the development and testing phase. Thus, they are to be distinguished from the functions already deployed for fleet orchestration and process control.
Translated automatically from German.
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