9 Sources
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LG will show an Nvidia-powered humanoid robot in 2027
The bipedal robot arrives in early 2027 on Nvidia's stack, while the only thing LG puts to work this year is a wheeled machine in a Tennessee factory LG will unveil a bipedal humanoid robot in the first quarter of 2027, built on Nvidia's Jetson Thor processor, Isaac GR00T foundation model and Halos safety system. The two signed the agreement at Nvidia's Santa Clara headquarters on 13 August. LG will show a bipedal humanoid robot in the first quarter of next year. The company signed an agreement with Nvidia at its Santa Clara headquarters on 13 August, with LG Corp chairman Kwang Mo Koo and Jensen Huang both present. Nvidia is supplying the thinking parts. The robot runs Jetson Thor for onboard processing and motion control, uses the Isaac GR00T foundation model, and carries Halos, which Nvidia describes as the first full-stack safety framework built for robots. LG is supplying the body, and that is the argument for why an appliance company belongs in this race. Actuators and sensors come from LG Electronics and LG Innotek, batteries from LG Energy Solution, so most of the bill of materials stays inside the group. Something arrives before the humanoid does. LG will put CLOiD, its wheel-based robot, onto the production line at its washing machine plant in Tennessee by the end of 2026, feeding results into a data operation built on LG CNS's PhysicalWorks platform that generates synthetic training sets alongside real ones. The compute comes after. An AI factory reference site on Nvidia's Vera Rubin platform is due in the first half of 2027, followed by an 80 megawatt facility at Cheonan in South Korea by the first half of 2028, with Nvidia's DRIVE Hyperion platform going into LG's vehicle work. None of this makes LG special to Nvidia, which is the point. Nvidia is not backing a winner in humanoids, it is selling the same stack to every contender, and has already signed up Japan's robotics establishment for its open world models. It has been widening the roster deliberately. Nvidia has been courting manufacturers beyond China's Unitree, which has been outselling Tesla on humanoids. LG is not even alone at home. Samsung has set up a CEO-led robotics division chasing the same market, and Hyundai owns Boston Dynamics. The safety layer is the part worth watching. Humanoids sharing floor space with people is the liability question the industry has never answered, and Huang framed the whole partnership around it, calling the opportunity of physical AI giving every machine the ability to "understand the real world, reason and act safely." Everything else here is dated 2027 or 2028. The only machine going to work this year is a robot on wheels in Tennessee.
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LG is getting into humanoid robots, and Nvidia is helping it build them
This isn't just another robot teaser. LG and NVIDIA just outlined actual hardware. With time, more and more legacy hardware companies seem to be racing to bolt a humanoid robot onto their roadmap. The latest entrant is LG, joining the race with tentative timelines. The company's bipedal humanoid, built on Nvidia's robotics stack, is planned for early 2027, and it's backed by a broader push into AI factories and self-driving vehicle platforms. What exactly is LG building with Nvidia? Earlier this week, LG and Nvidia signed a memorandum of understanding at Nvidia's Santa Clara headquarters. LG Corp chairman Kwang Mo Koo and Nvidia CEO Jensen Huang were both in the room. Recommended Videos The centerpiece is a bipedal humanoid robot LG plans to reveal publicly in early 2027, timed for CES 2027. From what we know, it runs on Nvidia's Jetson Thor chip, which powers reasoning, and the Isaac GR00T foundation model for processing. Nvidia's Halos safety system, billed as the industry's first full-stack safety framework built for robots, is also onboard. To make the robots, LG is sourcing actuators, sensors, and batteries from its own Electronics, Innotek, and Energy Solution divisions, which should be both convenient and economical. However, LG isn't waiting until 2027 to start real-world testing. This year, the company is deploying its wheel-based robot, LG CLOiD (the home robot showcased earlier this year), as a factory trial. To feed the machines a massive amount of training data, the partnership also includes building a "robot data factory" powered by LG CNS's PhysicalWorks platform. What about the AI factories and self-driving push? Beyond robots, LG is building two factories in the next two years. These include an AI factory reference site on Nvidia's Vera Rubin platform by mid-2027. It will be followed by an 80-megawatt LG AI Factory in Cheonan, South Korea, by mid-2028. To me, the goal sounds less like an internal priorities shift and more like an upcoming product that the company could package and sell to other tech giants. Nvidia's Halos safety framework is the detail worth watching here, since humanoid robots sharing floor space with human workers have been the industry's biggest liability question for years.
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NVIDIA and LG are building a next-generation humanoid robot that will make its debut at CES 2027
At a recent event at NVIDIA's headquarters in Santa Clara, California, Chairman and CEO of LG Corp Kwang Mo Koo and NVIDIA Founder and CEO Jensen Huang signed a 'memorandum of understanding' that included the development of a next-generation "bipedal humanoid robot." According to the press release, the humanoid robot will be unveiled to the public in early 2027, presumably at CES 2027, and will be built using NVIDIA Jetson Thor and NVIDIA Isaac GR00T, and powered by NVIDIA's open reasoning humanoid foundation model. On the LG side, the company will bring together LG Electronics, LG Innotek, and LG Energy Solution technologies under a single banner covering actuators, sensors, batteries, and all the physical stuff you expect from a robot. At Computex 2026, NVIDIA unveiled its NVIDIA Isaac GR00T Development Platform, an open-source platform built specifically for humanoid robotics, created in part to speed up development. It includes lab-based simulation to generate data and training information, and lets developers demonstrate, iterate, and test advancements before real-world deployment. The key component is the Isaac GR00T vision-language-action (VLA) model, which provides a strong foundation for human-like motion and task completion and will serve as the basis for new tasks and training specific to the robot being developed and its function(s). "It's a cross-embodiment model that takes multimodal input, including language and images, and produces the actions needed to perform tasks across diverse environments," NVIDIA explains. "Instead of training a policy from scratch, developers can start from a model that already encodes broad manipulation priors and adapt it to specific robots, tasks, and environments through post-training." NVIDIA Isaac GR00T and NVIDIA Jetson Thor hardware offer low-latency 2070 FP4 TFLOPS of AI compute with 128 GB of memory. And with this partnership and technology, LG plans to "accelerate the spread of AI by building industry-leading references." "The defining opportunity of physical AI is to give every machine the ability to understand the real world, reason and act safely alongside people - reshaping everyday life from the home and factory floor to the road," Jensen Huang, founder and CEO of NVIDIA, said. "Building on years of collaboration, LG and NVIDIA are combining LG's leadership in product engineering and manufacturing with NVIDIA technology to accelerate the next era of robots."
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LG is Teaming Up With NVIDIA to Build a Massive AI Platform for Robots
While LG has completely pivoted away from smartphones and pretty much any mainstream form of portable smart devices, the company has focused on strengthening its work on home electronics and appliances, computing, and even robotics. Speaking of the latter, LG recently announced that it's been working on its robotics partnership with NVIDIA, a team-up which will make use of LG's new Data Factory in Seoul. LG says that it met with NVIDIA at LG's Yangjae R&D Campus just four days after finalizing an agreement to iron out commercialization plans. The collaboration will essentially use LG's manufacturing and operational data with NVIDIA's physical AI stack, including NVIDIA Omniverse, Cosmos open world models, and the NVIDIA Isaac development platform. Both companies aim to build a "data flywheel" which will serve as a continuous learning ecosystem designed to train, refine, and deploy autonomous robots. With that said, LG's 10,000-square-meter Data Factory will be at the centre of this deal, and when combined with synthetic data augmented through NVIDIA's Cosmos world models, LG predicts that the facility will accumulate over 100,000 hours of training data by year-end, drastically shortening development cycles for its Robot Foundation Model. Lyu Jae-cheol, LG CEO states: Through the synergy built on 'One LG' - bringing together core capabilities across the Group - and strategic collaboration with global partners, we will secure our competitiveness in physical AI and become a comprehensive robotics solutions provider.
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LG to unveil next-gen humanoid robot powered by NVIDIA Isaac GR00T in Q1 2027
LG is developing a next-generation bipedal humanoid robot using NVIDIA Isaac GR00T, NVIDIA's open reasoning humanoid foundation model, with plans to publicly unveil it in the first quarter of 2027. The company is also working with NVIDIA on robotics, AI factory infrastructure, and a next-generation AI-defined vehicle platform. LG and NVIDIA signed a memorandum of understanding (MoU) on August 13 at NVIDIA's headquarters in Santa Clara, California. LG Corp Chairman and CEO Kwang Mo Koo and NVIDIA Founder and CEO Jensen Huang attended the signing. Under the agreement, LG and NVIDIA will collaborate across three areas: * Robotics: Develop and validate humanoid and wheel-based robots, along with the data systems needed for physical AI. * AI Factory: Build AI factory reference sites using NVIDIA DSX and NVIDIA Vera Rubin. * Future Mobility: Develop an AI-defined vehicle platform based on NVIDIA DRIVE Hyperion. Robotics LG's next-generation bipedal humanoid will use NVIDIA Jetson Thor for onboard computing, advanced reasoning, and control. It is being developed using NVIDIA Isaac GR00T and NVIDIA Halos for Robotics. The robot will combine "One LG" capabilities from LG Electronics, LG Innotek, and LG Energy Solution, including: * Actuators * Sensors * Batteries LG plans to publicly unveil the humanoid in the first quarter of 2027. Alongside this development, the company will deploy LG CLOiD, its wheel-based robot, at LG Electronics' washing machine manufacturing line in Tennessee within 2026 for validation in a real-world production environment. Based on the validation results, LG plans to refine the robots' performance and utility before expanding deployment to global production facilities, homes, and commercial spaces. Robot data factory The collaboration also includes work on a robot data factory powered by LG CNS PhysicalWorks, LG's robot data platform. PhysicalWorks will support an on-site physical AI data factory covering: * Continuous data collection * Synthetic data generation * Robotics training * Verification The robot data and manufacturing-site validation experience from the collaboration will also be used in the development of LG's in-house Robot Foundation Model (RFM), which is currently under development. LG plans to use NVIDIA Isaac GR00T while continuing to advance its own AI model capabilities. LG and NVIDIA will operate a joint task force comprising technical and business experts. The task force will work across R&D, site validation, and commercialization. AI Factory LG is using the NVIDIA DSX AI factory architecture together with "One LG" capabilities across AI infrastructure, including thermal management, power, design, and operations. The company has outlined two key stages for its AI factory plans: * First half of 2027: Build an AI factory reference site powered by NVIDIA Vera Rubin. * First half of 2028: Construct an 80 MW-scale LG AI Factory in Cheonan, Chungcheongnam-do. The AI Factory is intended to advance physical AI and robot foundation models (RFMs). Through these projects, LG also plans to validate a "One LG" end-to-end AI factory solution based on the NVIDIA DSX platform, covering design, construction, and operations. LG plans to use the validated solution to pursue business opportunities in the global AI infrastructure market, including turnkey "One LG" package solutions for global big tech customers. Future Mobility LG plans to develop a high-performance computing (HPC) platform for next-generation AI-defined vehicles (AIDVs) based on NVIDIA DRIVE Hyperion. The platform will integrate LG's in-vehicle infotainment (IVI) and automotive software capabilities. The platform will use NVIDIA's AI-based autonomous driving technologies and vehicle computing capabilities. Through this work, LG plans to expand its existing vehicle component business, which is centered on IVI, into the autonomous driving domain. LG plans to provide global OEMs with automotive solutions that combine: * Autonomous driving features * In-cabin AI services Speaking on the development, Kwang Mo Koo, Chairman and CEO of LG Corp., said, As our discussions have moved fast, our tasks and goals in AI Factory and Physical AI have become clear. We will accelerate the spread of AI by building industry-leading references. Commenting on the collaboration, Jensen Huang, founder and CEO of NVIDIA, said, The defining opportunity of physical AI is to give every machine the ability to understand the real world, reason and act safely alongside people -- reshaping everyday life from the home and factory floor to the road. Building on years of collaboration, LG and NVIDIA are combining LG's leadership in product engineering and manufacturing with NVIDIA technology to accelerate the next era of robots, AI factories and autonomous vehicles.
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LG to unveil Nvidia-powered humanoid robot in Q1 next year - The Korea Times
LG Group Chairman Koo Kwang-mo, left, shakes hands with Nvidia CEO Jensen Huang during their meeting at LG Twin Tower on Yeouido, Seoul, June 8. Courtesy of LG LG Group will unveil a humanoid robot based on Nvidia's Isaac GR00T robot foundation model in the first quarter of next year, and extend its partnership with the U.S. tech giant in artificial intelligence (AI) data center and mobility businesses. LG Group Chairman Koo Kwang-mo and Nvidia CEO Jensen Huang signed "a strategic business collaboration" memorandum of understanding (MOU) detailing the partnership during their meeting at Nvidia's headquarters in Santa Clara, California, Thursday (local time). LG Group Vice Chairman Kwon Bong-seok, LG Electronics CEO Lyu Jae-cheol, LG Uplus CEO Hong Bum-shik, LG CNS CEO Hyun Shin-gyoon and other LG Group executives also attended the event. The MOU came just two months after top executives from both companies agreed to cooperate in the AI industry. The MOU specifies areas for cooperation and details their plans in each field. "As our collaboration gains momentum, the tasks where the two companies can work together have become clearer in the field of AI factory, physical AI and mobility," Koo said. "We will accelerate the adoption of AI by building industry-leading reference cases." AI factory is Nvidia's term for AI data centers. "The defining opportunity of physical AI is to give every machine the ability to understand the real world, reason and act safely alongside people -- reshaping everyday life from the home and factory floor to the road," Huang said. "Building on years of collaboration, LG and Nvidia are combining LG's leadership in product engineering and manufacturing with Nvidia technology to accelerate the next era of robots, AI factories and autonomous vehicles." One focus of the partnership will be humanoid robots. LG said it is developing a bipedal robot that they hope to unveil in the first quarter of next year. The robot will be equipped with Nvidia's Jetson Thor for onboard computing and advanced reasoning and control, and will be developed based on Isaac GR00T, Nvidia's robot development platform. Isaac is an open source robotics development platform for both simulation and robot learning frameworks, while GR00T is a reference platform for building, training and testing humanoid robots. The LG robot will also use Nvidia's Halos for Robotics, which the company describes as the industry's first full-stack integrated safety system for robotics. LG Electronics will supply actuators that serve as its "muscles," while LG Innotek will provide sensors that function as its "eyes" and LG Energy Solution will supply batteries. The robot is expected to showcase the technologies and capabilities of LG's key affiliates. CLOiD, a wheel-based robot that LG Electronics showcased at CES 2026 in January, will also be tested on the washing machine production line at the company's factory in Tennessee. The robot data and manufacturing-site experience will be used to strengthen the competitiveness of LG's own robot foundation model, which is currently under development. LG said it plans to utilize Nvidia's Isaac GR00T ecosystem while also building up its own AI model capabilities. For data centers, LG plans to combine Nvidia's DSX data center architecture with LG Electronics' cooling solutions, LG Energy Solution's batteries, LG Uplus' operational capabilities and LS Group's power solutions. DSX is Nvidia's reference architecture for designing AI data centers as integrated systems encompassing computing, networking, storage, power and cooling infrastructure. In the first half of next year, LG will first establish a reference site using Nvidia's Vera Rubin AI computing platform to apply and test the group's cooling, power and IT technologies. In the first half of 2028, it plans to build an 80-megawatt data center in Cheonan, South Chungcheong Province, using a prefabricated design to shorten the construction period. The facility will be used to advance physical AI technologies and LG's robot foundation model. For mobility, LG said it will use Nvidia's DRIVE Hyperion autonomous driving platform to commercialize its vehicle computing platform for AI-defined vehicles. Based on Nvidia's technology, LG plans to expand its automotive electronics capabilities beyond its existing focus on in-vehicle infotainment into autonomous driving.
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LG Group plans humanoid robot reveal in early 2027 - report By Investing.com
Investing.com -- LG Group is expanding its efforts in physical artificial intelligence through a partnership with Nvidia Corp (NASDAQ:NVDA), Business Korea reported. The South Korean conglomerate plans to introduce a bipedal humanoid robot in the first quarter of 2027 based on Nvidia's Isaac GR00T platform. The initiative involves multiple LG subsidiaries working together. LG Electronics will provide actuators and robotics capabilities, LG Innotek will supply sensing technologies, and LG Energy Solution will contribute battery systems. Nvidia will provide AI and computing platforms for the project. LG Electronics' CLOiD system is scheduled to undergo factory validation at the company's Tennessee production facility. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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LG and Nvidia partner on robotics and AI factory development By Investing.com
Investing.com -- LG Corp and Nvidia signed a memorandum of understanding to expand their strategic business cooperation in robotics, AI factories and mobility, LG said in a statement Friday. LG plans to unveil a next-generation bipedal humanoid robot based on Nvidia Isaac GR00T in the first quarter of 2027. The company will deploy a wheel-based robot at a washing-machine production line at its Tennessee plant this year as a proof of concept. The South Korean company plans to build an Nvidia Vera Rubin-based AI factory reference site in the first half of 2027. LG intends to expand the facility to 80 megawatts in South Korea in the first half of 2028. LG also plans to develop a next-generation AI-defined vehicle platform based on Nvidia DRIVE Hyperion. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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LG, Nvidia to Unveil Jointly Developed Humanoid Robot Next Year
South Korea's LG Group and U.S. technology giant Nvidia are jointly developing a humanoid robot, expanding their collaboration in physical artificial intelligence. The next-generation bipedal humanoid robot will be unveiled in the first quarter of 2027, LG said Friday, after the companies signed a memorandum of understanding to cooperate in robotics and other AI projects at Nvidia's headquarters in Santa Clara, Calif., on Thursday. The robot will be powered by Nvidia's Isaac GR00T foundation model and Jetson Thor computing platform. LG subsidiaries--including LG Electronics, LG Innotek and LG Energy Solution--will supply actuators, sensors and batteries for the humanoid. Under the deal, LG will establish an AI factory pilot site powered by Nvidia's Vera Rubin platform in the first half of 2027. The project could pave the way for an 80-megawatt AI factory to be built in Cheonan, South Korea, by the first half of 2028. The South Korean conglomerate said it also plans to develop a high-performance computing platform for AI-defined vehicles using Nvidia's DRIVE Hyperion, expanding its auto-component business into autonomous driving. Separately, LG Group plans to deploy CLOiD wheel-based robots at an LG Electronics washing machine manufacturing line in Tennessee this year for real-world validation. The conglomerate will also develop a robot data platform with its AI transformation services affiliate LG CNS to support continuous data collection, synthetic data generation, training and verification for robotics.
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LG signed a partnership with Nvidia on August 13 to develop a bipedal humanoid robot powered by Isaac GR00T and Jetson Thor, planned for Q1 2027 debut. The collaboration extends beyond robotics to include an 80-megawatt AI factory in South Korea and autonomous vehicle platforms, positioning LG as a comprehensive robotics solutions provider.

LG Corp and Nvidia formalized their collaboration on August 13 at Nvidia's Santa Clara headquarters, with LG Corp Chairman Kwang Mo Koo and Nvidia CEO Jensen Huang signing a memorandum of understanding.
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The bipedal humanoid robot will be unveiled publicly in the first quarter of 2027, likely at CES 2027, marking LG's formal entry into the humanoid robotics race.2
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The next-generation humanoid robot runs on NVIDIA Jetson Thor for onboard processing and motion control, delivering 2070 FP4 TFLOPS of AI compute with 128 GB of memory.
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It uses the NVIDIA Isaac GR00T foundation model, an open reasoning humanoid foundation model that processes multimodal input including language and images to produce actions needed for tasks across diverse environments.3
The Halos safety system, described as the industry's first full-stack safety framework built for robots, addresses the liability question of humanoids sharing floor space with human workers.1
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LG is sourcing actuators and sensors from LG Electronics and LG Innotek, with batteries from LG Energy Solution, keeping most of the bill of materials within the LG group.
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This "One LG" approach combines core capabilities across the group's divisions.5
Before the humanoid robot launches, LG will deploy LG CLOiD, its wheel-based robot, at the company's washing machine manufacturing line in Tennessee by the end of 2026 for validation in a real-world production environment.1
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The collaboration includes building a robot data factory powered by LG CNS PhysicalWorks, LG's robot data platform covering continuous data collection, synthetic data generation, robotics training, and verification.
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LG's 10,000-square-meter Data Factory in Seoul will serve as the center of this effort, and when combined with synthetic data augmented through Nvidia's Cosmos world models, the facility is predicted to accumulate over 100,000 hours of training data by year-end.4
This data flywheel creates a continuous learning ecosystem designed to train, refine, and deploy autonomous robots while drastically shortening development cycles for LG's Robot Foundation Model.4
LG outlined a two-stage plan for AI factory development. An AI factory reference site powered by Nvidia Vera Rubin platform is scheduled for the first half of 2027, followed by an 80-megawatt LG AI Factory in Cheonan, South Korea, by the first half of 2028.
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These facilities will use the Nvidia DSX AI factory architecture together with LG capabilities across AI infrastructure, including thermal management, power, design, and operations.5
The AI factory infrastructure appears designed as more than an internal priority shift. LG plans to validate a "One LG" end-to-end AI factory solution based on the Nvidia DSX platform and pursue business opportunities in the global AI infrastructure market, including turnkey package solutions for global big tech customers.
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The partnership also extends to future mobility, with LG developing a high-performance computing platform for next-generation AI-defined vehicles based on Nvidia DRIVE Hyperion, integrating LG's in-vehicle infotainment and automotive software capabilities.1
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Nvidia is not backing a single winner in humanoids but selling the same stack to every contender, having already signed up Japan's robotics establishment for its open world models.
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The company has been deliberately widening its roster beyond China's Unitree, which has been outselling Tesla on humanoids.1
LG faces competition domestically as well, with Samsung establishing a CEO-led robotics division targeting the same market and Hyundai owning Boston Dynamics.1
Jensen Huang framed the partnership around safety, stating that "the defining opportunity of physical AI is to give every machine the ability to understand the real world, reason and act safely alongside people - reshaping everyday life from the home and factory floor to the road."
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LG CEO Lyu Jae-cheol emphasized the company's ambition to "become a comprehensive robotics solutions provider" through synergy built on "One LG" and strategic collaboration with global partners.4
Watch for how LG's manufacturing validation data from the Tennessee deployment informs the humanoid's capabilities and whether the company can leverage its appliance expertise to differentiate in an increasingly crowded field.Summarized by
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