FANUC adopts Isaac Sim, GR00T and Jetson Thor
In May 2026 FANUC announced ROBOGUIDE–Isaac Sim integration, T-shirt folding by two CRX robots via imitation learning with GR00T N, and moving its human-avoiding AI robot to Jetson T5000.
ImageImage source: developer.nvidia.com
Open VLA foundation model for humanoids with roughly 3B-parameter weights on Hugging Face.
Estimated price
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Published prices converted at USD 1 = JPY 150, CNY 1 = JPY 21, EUR 1 = JPY 165 for reference. Tax, shipping, duties, support and certification differ by source, so we quote the landed total in Japan.
| Form factor | Robot foundation model |
|---|---|
| Status | Shipping |
| Other | 3B-parameter release |
Specs are based on maker publications and press reports; real performance depends on configuration and environment. Prices vary with exchange rates, configuration, shipping, duties and support, so we provide final figures by quote.
MAKER
NVIDIA (Isaac / GR00T / Jetson)
🇺🇸 United States ・ Santa Clara ・ Founded 1993
Compute, simulation and foundation models for robot brains
Learn moreIn May 2026 FANUC announced ROBOGUIDE–Isaac Sim integration, T-shirt folding by two CRX robots via imitation learning with GR00T N, and moving its human-avoiding AI robot to Jetson T5000.
At general availability NVIDIA named Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Hexagon, Medtronic and Meta as early adopters, with 1X, John Deere, OpenAI and Physical Intelligence evaluating it.
Telexistence's TX SCARA for FamilyMart runs a Jetson AGX Xavier for edge AI and a Jetson TX2 for video streaming.
ImageBlackwell-based robot compute developer kit, generally available since 25 Aug 2025: 128 GB memory, up to 2070 FP4 TFLOPS and 7.5x the AI compute of Jetson Orin.
ImageOmniverse-based robot simulator and reinforcement/imitation-learning framework for digital-twin validation and synthetic data.
ImageOpen-source dual-system VLA models ('slow thinking, fast execution') released from August 2025; G0 Plus is plug-and-play and G0 Tiny targets edge deployment.
Image1X's generalist AI model that lets NEO learn and repeat chores, working with a built-in LLM and memory.
ImageVLA models; π0.5 targets generalization to unseen homes. Weights and code are released via openpi.
ImagePI's latest model, with better task decomposition, prompt adherence and recovery; a warehouse demo reportedly reached 96.4% autonomy over an eight-hour shift.
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