An AI-generated image of Dexmate’s humanoid robots / Courtesy of LG CNS
LG CNS has made a strategic investment in U.S. robotics company Dexmate to strengthen its hardware capabilities for industrial humanoid robots.
The company announced on Tuesday that it became the first Korean firm to invest in the U.S. company, using LG Group’s corporate venture capital arm LG Technology Ventures.
Based in Silicon Valley, Dexmate builds high-performance humanoid robots that have been recognized as standard research hardware by global artificial intelligence (AI) developers. Its robots are designed for human-like motion.
Each robot features a wheeled lower body, dual arms for high-speed operations and a vision-sensor head designed to perceive its surroundings. With over 36 independent axes of motion, the robots can perform precise two-arm cooperative tasks, carry up to 15 kilograms per arm and operate for over 20 hours on a single charge.
“This investment is LG CNS’ strategic step to tightly integrate robotic hardware, robotics foundation model (RFM) and platforms to enable large-scale robot operations and accelerate adoption across industrial sites,” Lee Jun-ho, head of LG CNS’s smart logistics and city business unit, said.
“We aim to validate the humanoid robot business model that goes beyond technology testing to real-world deployment and lead the era of physical AI.”
With this latest investment, the company is expanding its robotics hardware portfolio beyond bipedal and quadruped robots to include wheeled humanoid forms. It plans to leverage this lineup to deliver a full-stack robotics deployment service that integrates three key components for humanoid commercialization: hardware, RFM and an operational and training platform.
LG CNS is currently developing its own robot training and operating platform while continuing to expand partnerships and investments in the robotics sector, including with U.S.-based robotics AI developer Skild AI to jointly advance industry-specific RFMs.
It is also conducting multiple proof-of-concept projects where robots are trained on logistics, retail and manufacturing data to perform real-world tasks, such as sorting items, inspecting ship components and monitoring product quality.
Source: Korea Times News
