LG CNS is set to introduce quadrupedal security robots at the premium residential complex Tower Palace. This move expands its robot transformation (RX) business from manufacturing and logistics into residential and facility management, creating a case for the commercialization of physical artificial intelligence (AI).
On August 19, LG CNS announced it signed a memorandum of understanding with Tower PMC, a company specializing in managing premium residential facilities, to establish a security robot solution service.
Tower PMC manages several high-end residential complexes in South Korea, including Tower Palace, Hannam The Hill, Acro Seoul Forest, and Raemian One Bailey.
The robots will utilize LG CNS's robot platform, 'PhysicalWorks,' for on-site data learning and operation. The learning platform 'PhysicalWorks Pose' will train the robots with field data, while the integrated control platform 'PhysicalWorks Baton' will manage and operate the robots' tasks.
Based on this agreement, the two companies will conduct technology verification for the introduction of security robots at Tower Palace in Gangnam, Seoul, over the next two months, with actual operations expected to begin in the fourth quarter.
LG CNS will train the robots using data from the residential environment, including space layout, patrol routes, and emergency situations such as falls and fires.
The robots will autonomously patrol common areas and underground parking lots, alerting management if they detect suspicious behavior or overheating in electric vehicles and charging facilities. This will enable managers to respond quickly to on-site situations. The robots are equipped with two-way voice communication, allowing real-time interaction to assess situations and determine appropriate follow-up actions.
LG CNS aims to support rapid learning and operation of the robots, reducing their deployment period from several months to just one or two months.
“The quadrupedal security robot is expected to complement the existing patrol system, enhancing management throughout the complex and improving both resident safety and the efficiency of management personnel,” LG CNS stated.
Looking ahead, LG CNS plans to continuously enhance the robots' functions and performance while establishing a collaborative system with various service robots. For instance, if a security robot detects trash in the complex, it will request a cleaning robot to handle the task, enabling autonomous execution of various facility management duties through inter-robot collaboration.
Kang Min-soo, CEO of Tower PMC, emphasized, “In premium residential facilities, the safety of residents and the quality of service are paramount. By introducing AI-based security robots in collaboration with LG CNS, we aim to provide safer and differentiated residential services while continuing to innovate facility management using advanced technology.”
Myung Chang-guk, Executive Director of Smart Logistics Center/Robot Business at LG CNS, remarked, “This collaboration represents a significant case of physical AI technology creating customer value in real residential environments. LG CNS will continue to expand AI robot services based on PhysicalWorks, enabling various robots to perform actual tasks and collaborate with one another.”
Since unveiling PhysicalWorks, LG CNS has been expanding its application in real industrial settings. In May, it partnered with Kurly to validate the suitability of humanoid robots and PhysicalWorks in a logistics center. Following the completion of the first proof of concept, subsequent projects are underway. Last month, LG CNS signed a contract worth approximately 190 billion won with LG Electronics to supply infrastructure for humanoid robot learning, PhysicalWorks, and GPU-based AI infrastructure.
* This article has been translated by AI.
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