LG CNS said on the 20th it will introduce a quadruped security robot to the Tower Palace complex in Gangnam, Seoul.
LG CNS the previous day signed a business agreement with Tower PMC, a company specializing in managing premium residential facilities, to build a "security robot solution service." Under the agreement, the two companies will conduct technology verification over the next two months to introduce security robots within the Tower Palace complex in Gangnam, Seoul, and plan to begin actual operations in the fourth quarter.
LG CNS will train the quadruped robot on various on-site data, including the complex's spaces and driving routes, and abnormal situations such as falls and fires, so it can perform security duties in Tower Palace's real residential environment. Based on the trained data, the robot will autonomously patrol common areas and underground parking lots and will alert the management office if it detects suspicious behavior or abnormal conditions such as high heat at electric vehicles and charging facilities. Managers can communicate with the robot in real time through the two-way voice communication function onboard, assess the situation in more detail, and decide appropriate follow-up actions.
LG CNS will use its RX (robot transformation) platform, PhysicalWorks, for the robot's on-site data training and operations. The training platform PhysicalWorks Forge will learn on-site data, and the integrated control platform PhysicalWorks Baton will manage and operate the robot's tasks. The two platforms, which LG CNS unveiled in May, help robots quickly learn and operate on on-site data. The goal is to shorten the on-site deployment period for robots, which used to take several months, to 1–2 months.
An LG CNS official said, "The quadruped security robot will supplement the existing security system that patrols at set times to manage the entire complex more closely and is expected to improve not only resident safety but also the work efficiency of management staff."
Going forward, LG CNS plans to continuously advance the robot's functions and performance and build an autonomous collaboration system linked with various service robots. For example, if a security robot finds trash in the complex, it will request work from a cleaning robot, enabling robots to autonomously carry out a range of facility management tasks through collaboration among heterogeneous robots.
Myeong Chang-guk, executive director in charge of the Smart Logistics Center and robot business at LG CNS, said, "This collaboration is a meaningful case in which Physical AI technology creates customer value in a real residential environment," adding, "Based on PhysicalWorks, LG CNS will continue to expand AI robot services in which various robots perform actual tasks and collaborate with each other."