Hyundai's K-Physical AI to Transform Industries, Says Robotics Chief

By Han Jiyeon Posted : September 3, 2026, 19:20 Updated : September 3, 2026, 19:20

"Simply creating an outstanding humanoid robot will not enhance Korea's physical artificial intelligence (AI) competitiveness. We aim to build an industrial ecosystem where robots can work across various sectors, including logistics, services, and communications, through a 'Robotics Intelligence Society' that contributes to society," said Joo Si-hyun, head of robotics intelligence development at Hyundai Motor Group.


Joo made these remarks during a presentation titled 'K-Physical AI Heading for the Global Market' at the 18th Good Growth, Good Jobs Global Forum (2026 GGGF) held at The Plaza Hotel in Jung-gu, Seoul, on September 3.


He noted that both Korea and the world face various social issues, including aging populations, labor shortages, care gaps, and rising healthcare costs. "Physical AI and robotics technology are essential for addressing these challenges and enhancing social value," he stated. He emphasized the need to advance technology development to ensure that physical AI can thrive through the completion of infrastructure that allows robots to operate in real-world settings.


Hyundai's robotics division is actively deploying robots in the field to identify issues, which are then addressed in the lab. A notable example is the 'X-ble Shoulder,' an assistive robot designed to reduce physical strain on workers. Joo explained, "This product began as a preliminary study in 2019 and has undergone three phases of validation, expanding its application range. It addresses social costs related to worker fatigue from repetitive tasks, prevents industrial accidents, and aids in rehabilitation for overcoming disabilities. After numerous trials in various settings, we have broadened its use beyond manufacturing to sectors like aviation, construction, shipbuilding, and agriculture."


He also highlighted the electric vehicle charging robot and irrigation robot as key examples of proof-of-concept (PoC) development. Joo pointed out that while testing the electric vehicle charging robot, several issues emerged, such as the weight of the fast-charging cable (5-7 kg), the non-barrier-free locations of charging stations, and consumer concerns about electric shock during rain. To address these, they conducted trials with 70 electric vehicles at Incheon International Airport, leading to improvements for mass production.


Furthermore, he described the irrigation robot and security robot, which operate in offices and hotels, as simpler services compared to industrial robots. However, he noted that these robots serve as test beds for coexistence with humans in everyday life. The irrigation robot, for instance, prioritizes plant survival while avoiding interference with human movement, showcasing its potential to create new service areas.


The robotics lab focuses on seven core research areas, including wearable robots, mobility platforms, manipulation, robot autonomy (SLAM), mission and physical AI, and on-device AI. This approach aims to secure a common technological foundation applicable to various robots, which is crucial for providing high-quality robots at lower costs.


Joo explained that the competition in physical AI is shifting from creating 'robots that are just like humans' to finding ways to perform tasks at lower costs. He stated, "The humanoid technology that excites the public involves high-performance robots that mimic human 'hands,' requiring more than 15 motors and complex drive structures. In contrast, the same objectives can be achieved with just two motors in a 'gripper.'"


He emphasized that for the robot market to expand significantly, there is a need for platforms that can be produced repeatedly and applied in various settings, rather than expensive custom robots. He advocated for a 'common platform' that can implement diverse services such as guidance, delivery, and transportation based on a single mobility platform, while standardizing parts and systems to enhance production scale and price competitiveness in the global market.


This approach carries significant implications for Korea's physical AI industry. Joo concluded, "For physical AI to grow beyond a single robot product into an industry, the services and infrastructure surrounding robots must also evolve. We will build a healthy physical AI ecosystem through partnerships in components, transportation, services, insurance, and communications."





* This article has been translated by AI.

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