NdotLight Physical AI Party @Humanoids Summit Seoul
For the People,
Who Build the Worlds Robots Learn In.
Who Build the Minds That Learn There.
Deployment is where a different problem begins. The brains are improving. The worlds they train in are not. Training data is scarce, and the sim-to-real gap is wider than it looks. This is not a model problem. It is a problem of the worlds robots train in.
On the first evening of Humanoids Summit Seoul, we are bringing together the founders, researchers, engineers, investors, and industrial leaders working on this problem from every side. One focused seminar hour, followed by open networking for the rest of the evening.
🎯 What You Can Expect
A landscape briefing on the Physical AI value chain. Hardware, foundation models, simulation, and the data layer, and where each one breaks
Guest speakers' view from the frontier
How simulation-ready 3D data changes robot learning, with a real deployment case and real numbers
Real-world Physical AI use cases from major manufacturers such as Samsung Electronics, Samsung Display, LG Electronics, Hyundai Motors
Networking with industry experts and professionals
🕹️ Program
6:00 – 6:30 PM | Registration & Networking
6:30 – 8:30 PM | Seminar
The ecosystem of Physical AI and its trend - NdotLight
Guest Speakers' sessions
Panel Discussion with experts from NVIDIA, Samsung Electronics, RLWRLD, and Holiday Robotics
8:30 – 10:00 PM | Networking
❤️ Who are Especially Welcome
Founders and engineers building physical AI
Researchers and operators in robot learning, simulation, and data infrastructure
Industrial and manufacturing leaders deploying intelligent machines
Investors backing Physical AI
International guests in Seoul for Humanoids Summit
*By attending, you consent to being photographed/filmed. Photos and videos will be shared by NdotLight on social media and promotional materials.
About NdotLight
NdotLight builds the data infrastructure that bridges the real and the virtual. Our product TRINIX combines a proprietary CAD engine with generative AI to automate the entire pipeline for generating sim-ready assets, end to end. From robot learning to digital twins, design automation, and asset libraries, we are building the data layer of Physical AI.