LG CNS Launches PhysicalWorks Platform for Mixed Robot Fleet Management

CryptoFrontier

LG CNS, the IT services arm of South Korea’s LG Group, launched its PhysicalWorks platform to train and manage mixed robot fleets through one unified software layer, according to The Korea Herald. At a demonstration, four robots from Unitree, Deep Robotics, Dexmate, and Bear Robotics moved boxes without remote control, completing one handoff over two to three meters in 90 seconds. The company said the system combines simulation and video training with software that reassigns work in real time, including the ability to switch equipment during emergencies—such as when it diverted a quadruped to patrol duty and reassigned its task to a Bear Robotics cart.

Platform Capabilities and Deployment

The PhysicalWorks system manages robots from different manufacturers through a single control layer, addressing a fragmented market where machines from separate vendors typically require custom engineering to work together. According to the source, this unified approach could make automation easier to adopt, allowing businesses to select the best robot for each job without being locked into one vendor ecosystem.

LG CNS reported that the platform can reduce robot deployment time from several months to approximately one to two months. The company is currently running over 20 proof-of-concept projects, with an executive noting that revenue generation may take one to two years.

LG CNS’s Robot Software Foundation

The PhysicalWorks launch builds on LG CNS’s four decades of experience as a systems integrator in the manufacturing sector. The company has spent 40 years constructing IT infrastructure for manufacturers, including expertise in linking legacy production software—an advantage the company views as relevant to modern robotics integration.

PhysicalWorks builds on existing LG CNS tools such as Real Time Dispatcher (RTD), which sets task priorities and logistics movement conditions in real time. RTD can also control logistics equipment including Automated Guided Vehicles (AGVs), which are driverless vehicles used to move materials in factories.

Artificial Intelligence and Adaptability

The platform incorporates a Robot Foundation Model (RFM) developed through LG CNS’s partnership with Skild AI, a US startup building AI systems for robots. The RFM aims to make robots more adaptable by enabling them to learn from workplace photos and video data, then act autonomously instead of requiring task-specific development for each action or direct control at every step.

LG CNS’s preparation for the launch included an 11-month development period, during which the company invested in Skild AI and acquired a stake in robotics firm Dexmate.

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PopFruitCollagevip
· 3m ago
Wait, which company is Dexmate? It doesn't seem to be well-known domestically. Can someone knowledgeable give a quick explanation?
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AlphaAfterTeavip
· 3m ago
LG, this move is quite interesting. Integrating robots from different manufacturers into one system for scheduling means we no longer need to connect with each one individually.
View OriginalReply0
TheNemesisOfFomovip
· 6m ago
A software layer manages a heterogeneous fleet, It sounds simple, but in practice, the communication protocol and task scheduling are quite intertwined.
View OriginalReply0
ColdWalletUnderTheAuroravip
· 14m ago
Demonstration is demonstration; real warehouses face network latency, sensor noise, and anomaly handling as the true tests. Looking forward to subsequent implementation cases.
View OriginalReply0
NodeOutsidervip
· 22m ago
LG CNS doesn't build robots, only develops platforms; this positioning is smart, avoiding direct competition with hardware manufacturers.
View OriginalReply0
GateUser-6319729fvip
· 22m ago
PhysicalWorks, this name sounds quite solid; workflows in the physical world indeed require a unified orchestration layer.
View OriginalReply0