KAIST and NVIDIA Launch Joint Physical AI Research Center

NVDA-0.83%
Key Takeaways
  • KAIST and NVIDIA announced on the 26th the establishment of Human Physical AI NVAITC joint research center.
  • The center combines KAIST's human motion data and gait control technology with NVIDIA's AI computing technology.
  • Phase 1 research objective is building a human motion foundation model for wearable robots and humanoids.

KAIST and NVIDIA announced on the 26th the establishment of a joint research center to develop artificial intelligence models that understand and predict human movement. The Human Physical AI NVAITC (Human Physical AI NVAITC) will combine KAIST's human motion data and gait control technology accumulated through wearable robotics research with NVIDIA's AI computing technology and global research network. The center will operate based on KAIST's Mechanical Engineering Human Physical Intelligence Research Center, with Professor Kong Kyung-chul (wearable robotics) and Professor Kim Jung (bio-robotics) serving as co-directors.

KAIST and NVIDIA Establish Human Physical AI Research Center

KAIST announced on the 26th the establishment of the Human Physical AI NVAITC in collaboration with NVIDIA for joint research in the Physical AI field. The center operates based on KAIST's Mechanical Engineering Human Physical Intelligence Research Center. Professor Kong Kyung-chul from the wearable robotics field and Professor Kim Jung from the bio-robotics field serve as co-directors.

Professor Kim Jung (left) and Professor Kong Kyung-chul (right), who serve as co-directors of the Human Physical Intelligence Technology Center

The two institutions plan to combine KAIST's human motion data and gait and movement control technology accumulated through wearable robotics research with NVIDIA's AI computing technology and global research network.

Center Focuses on Human Motion Foundation Model Development

The Phase 1 core research objective is building a 'human motion foundation model.' The human motion foundation model is a generative AI model that learns large-scale human motion data to understand and predict various human movements and generate new motions.

Researchers plan to enable wearable robots and humanoids to more accurately identify user intentions and movements and respond naturally through this model. Charles Chung, NVIDIA AI Technology Center Senior Manager, participates from NVIDIA to provide technical advice and development support. Research and education programs utilizing NVIDIA Omniverse and digital twin platforms will also operate.

Joint Operations Include Student Programs and Biannual Reviews

The two institutions will form a steering committee to review research objectives and outcomes every six months and hold an annual international symposium. A student ambassador program will operate, selecting 5 to 10 KAIST students to provide lectures and mentoring from NVIDIA experts and joint projects.

KAIST President Bae Chung-sik stated, "We will implement Physical AI that better understands and helps humans by combining KAIST's human-centered research with NVIDIA's AI infrastructure. We will develop it into a hub leading global Physical AI research and industry."

FAQ

What is the Human Physical AI NVAITC established by KAIST and NVIDIA? The Human Physical AI NVAITC is a joint research center announced on the 26th by KAIST and NVIDIA to develop AI models that understand and predict human movement. The center operates based on KAIST's Mechanical Engineering Human Physical Intelligence Research Center, with Professor Kong Kyung-chul and Professor Kim Jung serving as co-directors.

What is the Phase 1 research objective of the center? The Phase 1 core research objective is building a 'human motion foundation model.' This generative AI model learns large-scale human motion data to understand and predict various human movements and generate new motions, enabling wearable robots and humanoids to more accurately identify user intentions and movements.

Disclaimer: The information on this page may come from third-party sources and is for reference only. It does not represent the views or opinions of Gate and does not constitute any financial, investment, or legal advice. Virtual asset trading involves high risk. Please do not rely solely on the information on this page when making decisions. For details, see the Disclaimer.
Comment
0/400
No comments