Four Robots Collaborate Seamlessly...A Logistics Site Where Tasks Are Performed Autonomously
LG CNS Physicalworks Demonstration
A demonstration showcasing how different robots deployed in industrial sites can autonomously collaborate and work together was held on May 7 at LG Science Park in Gangseo-gu, Seoul. When a warning alarm sounded, a quadrupedal robot that had been carrying boxes began its patrol. As the robot climbed stairs and moved around the patrol area to check for any abnormalities on site, the robot's perspective was broadcast in real time on the 'Physicalworks' platform developed by LG CNS. Meanwhile, existing transport tasks continued seamlessly, handled by autonomous mobile robots (AMR).
LG CNS's four types of robots—bipedal, quadrupedal, wheeled, and autonomous mobile robots (AMR)—trained with "PhysicalWorks Forge," autonomously collaborate and perform tasks in logistics sites based on the "PhysicalWorks Baton." LG CNS.
View original imageOn this day, LG CNS presented a logistics site where four different types of robots autonomously performed tasks based on its Robot Transformation (RX) platform, Physicalworks. An LG CNS representative emphasized, "This is the first case in Korea to implement autonomous collaboration and real-time control by training a Robot Foundation Model (RFM), rather than relying on teleoperation (human remote control)."
During the demonstration, four robots from different manufacturers and with different designs collaborated: the 'G1' from Chinese humanoid robotics company Unitree Robotics, the 'Vega' from American humanoid robotics company Dexmate, the 'Carti-100' logistics transport robot from Bear Robotics (an LG Electronics subsidiary), and the 'M20' quadrupedal robot from Chinese robotics startup Deep Robotics. The bipedal robot G1 grasped a packaged item and placed it into a transport box, after which the quadrupedal robot M20 handed it over to the logistics transport robot Carti-100. Carti-100 then extended its body to deliver the box to a high shelf.
During the work process, the Physicalworks platform was shared through three distinct screens. LG CNS Physicalworks is divided into two core platforms: 'Pose' and 'Baton.' Pose is a platform for training and refining robots; when simulation data replicating real sites and work processes is collected in a 3D virtual environment, AI automatically selects the data. Baton is a platform for integrated control and management of robots. The key advantage is that robots of various manufacturers and forms can be managed within a single system. In particular, agentic AI dynamically adjusts work flows in real time by reflecting the progress of tasks and changes in equipment status.
Pose gathered on-site work data from the robots. Baton controlled the robots' real-time locations and statuses on a map of the demonstration site, and the work workflow was displayed on a dashboard to monitor task progress.
LG CNS has pledged to transform future industrial sites into 'dynamic factories.' The company aims not only to automate tasks with robots but also to create intelligent factories that can respond in real time to a wide range of variables arising in the production environment. Junho Lee, head of the Smart Logistics & City Business Division at LG CNS, explained, "The core feature is that robots recognize and make decisions on their own to perform work, enabling autonomous logistics and manufacturing environments. We are moving beyond automation toward intelligence and autonomy in operations."
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To achieve this, LG CNS highlights its deep understanding of production sites and its ability to integrate information technology (IT) systems. Shingyun Hyun, CEO of LG CNS, stated, "The essence of robot transformation lies not in the capabilities of individual robots, but in establishing learning, validation, and integrated operation systems tailored to the field. We have a distinct advantage in interfacing with upper-level systems such as Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES)."
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