ALL.AI presents NVIDIA-based robot AI acceleration strategy at the International Robot Business Conference

  • 작성자 : 홈페이지담당자
  • 작성일 : 2025.11.21
  • 조회 : 131

Photo by ALL.AI


Physical AI Enabler company ALL.AI Inc. CEO Yong-Gak Kim presented a session titled “Robot AI Acceleration Strategy through the NVIDIA Platform” at the International Robot Business Conference held on the 6th at KINTEX in Ilsan, Goyang-si, Gyeonggi Province.

The International Robot Business Conference, held as an affiliated event of Korea’s largest robot exhibition, RobotWorld, shares the latest trends and business strategies in the robot industry, automation, and artificial intelligence (AI). Leading Korean robotics companies and promising startups, including Yujin Robot, T-ROBOTICS, Samhyun, and FANUC Korea, joined the event and drew significant attention.

ALL.AI gained recognition as the only Physical AI Enabler in Korea, leveraging NVIDIA Jetson hardware and the Omniverse-based platform. ALL.AI builds virtual simulations that recreate real industrial environments using digital twins and provides an AI training platform that enables scenario development and verification.

This approach allows efficient reduction of time and AI training resources, and it creates an environment where even beginning developers can easily train and validate AI robots.

Yong-Gak Kim said, “Innovation in robot development depends on accelerating the processes of data acquisition, training, and integrated control,” adding, “NVIDIA Omniverse and the Isaac platform play a central role in this.” He also said, “Introducing the NVIDIA platform is not just a technical choice but a strategic investment that buys time,” and added, “Buying a GPU means buying time.”

He further explained, “Even in the ROS (Robot Operating System) environment, using Isaac SDK allows an easy transition into NVIDIA’s ecosystem, which rapidly lowers the entry barriers for AI robot development.”

Data acquisition challenges also emerged as a significant issue. Yong-Gak Kim said, “Collecting data on extreme situations such as typhoons, heavy snowfall, or varying lighting conditions in real-world settings is practically impossible,” and added, “The solution lies in Synthetic Data Generation.” He explained, “Synthetic data makes it possible to build a training environment that exceeds physical constraints of reality, and it greatly improves the decision accuracy of robot AI.”

Finally, Yong-Gak Kim said, “As a Physical AI Enabler, ALL.AI will continue to expand its AI integrated platform that connects the physical and digital worlds and applies to various industries including manufacturing, logistics, and services.”

 

첨부파일

확인

아니오