Rhoda AI FutureVision
$ 0
Proprietary predictive world model for autonomous robot decision-making; anticipates consequences of robot actions
Showing 33–43 of 43 results
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RLDX-1
$ 0
RLDX-1 is a robotics foundation model from RLWRLD that specializes in dexterous robotic manipulation and humanoid interaction. The model combines visual understanding, language processing, tactile sensing, and force feedback to help robots perform complex real-world tasks with high precision.
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Sanctuary AI Carbon
$ 0
Proprietary full-stack AI for Phoenix humanoid; not a separable foundation model
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Skild Brain
$ 0
Omni-bodied foundation model across quadrupeds, humanoids, arms and mobile manipulators; hierarchical architecture
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sudo R1
$ 0
Sudo R1 is a simulation-trained embodied AI model that links vision, language, and action. It enables robots to perform flexible, real-world tasks without relying on extensive real-world training data.
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Tesla Optimus AI
$ 0
Adapted from Tesla’s autonomous-driving AI for humanoid manipulation and navigation; fully proprietary, not published
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UnifoLM-VLA-0
$ 0
Open-source VLA for general-purpose humanoid manipulation; built on Qwen2.5-VL and Isaac-GR00T
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UnifoLM-WMA-0
$ 0Open-source world model-action architecture for general-purpose robot learning; includes simulation engine and policy head
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UniSim
$ 0
Universal simulator trained on diverse interaction data; generates realistic robot action consequences for policy learning
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V-JEPA 2
$ 0
Video Joint Embedding Predictive Architecture; predicts future video representations for robot action planning from passive video
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