Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
LG CNS Introduces Four-Legged Security Robot at Tower Palace in Seoul
LG CNS has deployed a four-legged security robot at Tower Palace, a luxury complex in southern Seoul. This marks the company's first venture of its physical AI platform into a residential environment, previously utilized in factories and warehouses. The significance of this deployment lies in LG CNS's ability to enhance security through advanced robotics. The robot will autonomously patrol common areas and underground parking, identifying suspicious activities and alerting management, thereby improving safety for residents. Looking ahead, LG CNS plans to conduct approximately two months of technical validation before full operations commence in the fourth quarter. The integration of the PhysicalWorks platform is expected to streamline the deployment of robots in various settings, with future expansions of AI robot services anticipated.
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Doosan, LG CNS link up for data centers, robotics and AI
Doosan Corp. has announced a strategic partnership with LG CNS aimed at enhancing global competitiveness in key technology sectors, including data centers, hydrogen drone logistics, and artificial intelligence. The memorandum of understanding was signed by Doosan Corp. President Yoo Seung-woo and LG CNS President Hyun Shin-gyoon during a ceremony at LG Science Park in western Seoul on Thursday. This collaboration will focus on developing data center and cloud services, positioning both companies to leverage their strengths in these rapidly evolving industries. The partnership reflects a commitment to innovation and technological advancement in response to the growing demand for efficient and sustainable solutions in the digital landscape.
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Genesis AI and LG CNS Enter Strategic Partnership to Scale General-Purpose Robotics Across Enterprise Operations
Genesis AI and LG CNS have announced a long-term partnership aimed at assessing and implementing general-purpose robots in manufacturing and logistics sectors across the United States. This collaboration seeks to provide companies globally with a streamlined approach to adopting robotics on an enterprise scale. Zhou Xian, co-founder and CEO of Genesis AI, emphasized the significance of this partnership in facilitating the deployment of advanced robotic solutions. The initiative reflects a growing trend towards automation in various industries, driven by the need for efficiency and innovation in operational processes.
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Genesis AI and LG CNS Enter Industry-First Strategic Partnership to Scale General-Purpose Robotics Across Enterprise Operations
Genesis has announced a strategic partnership with LG CNS to create a scalable deployment model for full-stack robotics tailored for industrial environments. This collaboration aims to enhance automation capabilities across various sectors, addressing the growing demand for efficient and flexible robotic solutions. The initiative was unveiled on October 15, 2023, and will focus on integrating advanced robotics technology into manufacturing and logistics operations. By leveraging LG CNS's expertise in IT services and Genesis's innovative robotics solutions, the partnership seeks to streamline processes and improve productivity in industrial settings. This development reflects a broader trend in the industry towards adopting sophisticated automation technologies to meet evolving operational needs.
LG CNS enters physical AI race to coordinate rival robots
LG CNS, the IT services division of LG Group and a leading systems integrator in South Korea, has introduced a groundbreaking software platform designed to manage fleets of robots from various manufacturers under a unified control system. This launch took place on Thursday and addresses a longstanding challenge in the robotics industry that typically required extensive custom engineering for coordination. The new platform, named PhysicalWorks, consists of two key components: one module focuses on training robots utilizing simulation and video data, while the other facilitates real-time task assignment and reassignment across diverse robot fleets. This innovative solution aims to streamline operations and enhance efficiency in environments where multiple robotic systems operate concurrently.
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