LG Innotek wants to help robots see the world and handle objects, and it is teaming up with Nvidia to bring those capabilities closer to reality.
The South Korean electronics component maker announced on Oct. 22 that it is working with Nvidia to develop sensing solutions for physical AI, which refers to AI systems that interact with the real world through machines such as robots and autonomous vehicles.
At Nvidia’s GTC Berlin conference this week, LG Innotek demonstrated a 3-megapixel camera module and a multimodal vision system built around Nvidia’s Holoscan Sensor Bridge (HSB) technology.
Nvidia’s Holoscan Sensor Bridge (HSB) is designed to transfer sensor data efficiently to AI computing systems while reducing the need for intermediate CPU processing. This can help lower data-transfer delays, allowing robots to interpret their surroundings and respond more quickly.
LG Innotek brings experience in optical design and sensing technologies spanning cameras, LiDAR and radar. Its multimodal vision system combines multiple cameras and sensors to give AI systems a more complete view of their environment.
The companies plan to extend their collaboration to humanoid robot vision systems and robotic hands, with next-generation solutions expected to be showcased at CES and GTC in 2027.
LG Innotek wants more than component sales
The partnership fits LG Innotek’s effort to expand beyond its established mobile-device component business and build new revenue streams in robotics and autonomous driving.
The company is already developing robotic components with Boston Dynamics and has begun mass-producing camera modules for a North American robotics customer. In autonomous driving, it is working with LiDAR specialist Aeva, autonomous-driving software company Applied Intuition and South Korean mobility platform Kakao Mobility.
LG Innotek CEO Moon Hyuk-soo said the Nvidia collaboration offers an opportunity to expand the company’s integrated sensing technologies globally. He also described the company’s ambition to become a physical AI solutions provider spanning sensing, communication modules and semiconductor substrates, according to BigGo Finance.
For robotics manufacturers and systems integrators, the collaboration could eventually expand the range of sensing components designed to work with Nvidia’s AI computing platforms. That may create opportunities to develop more integrated robotics solutions, although the companies have not announced specific channel programs, pricing or commercial availability for the new systems.
Why the sensor-to-AI connection matters
For robot makers, the challenge is not simply installing better cameras. Robots must turn incoming visual information into reliable actions quickly enough to navigate spaces, recognize objects and manipulate items without constant human intervention.
Connecting sensors directly to AI computing systems could help reduce processing delays. Combining cameras with LiDAR and radar could also give robots additional information about distance and their surroundings, although the results will depend on sensor quality, software and how well the components work together.
LG Innotek’s opportunity is to become a supplier that robot manufacturers can build around Nvidia’s computing platform. However, compatibility alone does not guarantee orders. The companies still need to demonstrate performance in real-world environments, while commercial adoption will depend on customer requirements, manufacturing costs and the pace of humanoid robot deployment.
What this means for robotics partners and customers
For businesses deploying robots, better integrated sensing could eventually mean machines that recognize objects more accurately, react faster to obstacles and perform handling tasks with fewer errors. In warehouses, for example, improved perception could help robots identify packages and navigate around workers or equipment.
For robotics manufacturers and systems integrators, the collaboration could provide additional options for building machines around Nvidia’s AI computing platforms. However, the companies have not disclosed pricing, production timelines or customer commitments for the next-generation sensing solutions.
The partnership’s commercial impact will depend on whether LG Innotek and Nvidia can turn their sensing technology into products that robot manufacturers can deploy at scale. For channel partners, the next milestones will be the planned 2027 demonstrations, followed by evidence of real-world performance, customer adoption and commercial availability.
Other news: Nvidia has introduced DSX POD, a modular AI data center design that could reduce onsite deployment from six months to as little as 14 days at prepared sites.