LG CNS CEO Hyun Shin-gyoon speaks during the company's media event at LG Science Park in western Seoul, Thursday, to introduce its new robot transformation platform PhysicalWorks. Courtesy of LG CNS
LG CNS unveiled PhysicalWorks on Thursday, an integrated robot transformation platform that cuts industrial robot deployment times from several months to one or two months, as the company escalates its push into physical artificial intelligence (AI).
PhysicalWorks integrates the entire cycle of robot operations —training, verification, deployment, operation, control and management — marking the first time a Korean company has launched an end-to-end robot platform under its own brand.
"Robots are evolving beyond simple automation equipment into entities that actually perform production and operations," LG CNS CEO Hyun Shin-gyoon said during its media event to introduce the platform at LG Science Park in western Seoul.
“The essence of robot transformation isn't about individual robot performance, but establishing a framework for field-specific training, validation and unified operations … LG CNS aims to partner with clients through their entire robot transformation, leveraging industrial expertise and AI integration capabilities.”
Emphasizing the importance of integrated systems for robot deployment and operations, Hyun introduced two core platforms: PhysicalWorks Forge and PhysicalWorks Baton.
PhysicalWorks Forge supports the full process from collecting robot training data to validating robots in virtual simulations and deploying them into real-world industrial environments.
Rather than relying solely on repetitive human demonstrations for training, the platform uses AI-generated simulation data in 3D virtual environments replicating actual workplaces and workflows, enabling faster data collection.
The platform also automates data refinement with AI that selectively filters and processes useful robot training data, such as identifying successful object-grasping motions while removing unnecessary sequences to improve learning efficiency.
The company explained that this platform will cut the time required to train and deploy robots to one or two months.
Source: Korea Times News
