"We Will Be a Partner Throughout the Entire RX Process"...LG CNS Unveils RX Platform 'Physical Works' for the First Time

"We aim to become a key partner throughout the entire Robot Transformation (RX) process."

President Hyun Shinkyun of LG CNS delivering a welcoming speech at the LG CNS RX Media Day held on the 7th at LG Science Park in Gangseo-gu, Seoul. LG CNS.

On May 7, at the RX Media Day held at LG Science Park, Hyun Shinkyun, President of LG CNS, made this statement, emphasizing, "The core of RX is not the performance of individual robots, but rather establishing a learning and validation system tailored to each site, along with an integrated operational framework."

On this day, President Hyun unveiled "Physical Works," a platform that integrates and manages the entire RX process, with the goal of accelerating the field deployment of industrial robots and improving operational efficiency. LG CNS is seeking to target the market with a strategy to provide comprehensive services spanning the full lifecycle of intelligent robots in industrial settings, including data collection, learning, validation, field application, operation, and control.

Physical Works is divided into two core platforms: "Forge" and "Baton." Forge is a platform for training and developing robots; when simulation data reflecting actual field environments and work processes is obtained in a 3D virtual space, AI automatically selects and utilizes it. LG CNS explained that this process can reduce the time required to deploy robots in the field to just 1 to 2 months.

Baton is a platform for integrated control and management of robots. Its key feature is the ability to operate robots of various manufacturers and types within a unified system. In particular, agentic AI dynamically adjusts workflows in real time by reflecting changes in task progress and equipment status. LG CNS expects that, in an environment operating around 100 robots, including autonomous mobile robots (AMRs) and automated guided vehicles (AGVs), productivity can be increased by 15% while operating costs can be reduced by 18%.

LG CNS explained that by linking these two platforms, it has established a virtuous cycle covering the entire process from robot adoption to operation. Robots that have been trained and validated through Forge are then operated and monitored via Baton, and data accumulated during this process is reused for further training. In practice, Forge is currently conducting robot proof-of-concept (PoC) projects at more than 20 client sites, while Baton is being used to centrally manage patrol, barista, cargo transport, and cleaning robots for the Busan Smart City National Pilot Project.

At the event, for the first time in Korea, a demonstration showcased four types of robots autonomously working together. Four robots—including bipedal, quadrupedal, wheel-type, and AMRs that had completed learning through Forge—collaborated organically in a logistics environment based on Baton.

President Hyun stressed, "By leveraging our full-stack capabilities, from establishing optimal robot adoption strategies for each customer site and securing industry-specific Robot Foundation Models (RFMs), to robot training, application, and operation, we will set a new standard for commercializing Physical AI and realize an autonomous, robot-centered operational system."

This content was produced with the assistance of AI translation services.