Generalist - Towards Machines with a Thousand Hands
Why create robot intelligence for just one hand, when we could have it learn from many? Our latest model GEN-1 now supports a broad range of end effectors, showing how a single model can transfer across radically different ways of interacting with the physical world.
Your browser does not support the video tag. GEN-1,1 our latest embodied foundation model, now supports a broad range of robot end effectors — from five-finger anthropomorphic hands, to specialized tools with new modes of actuation, and everything in between. By training GEN-1 to work with these new hands, we demonstrate that a single base model can learn sensorimotor policies on robots that transfer across radically different ways of interacting with the physical world. Below, we walk through examples of these hands in action and where we think this is headed. Generalizing GEN-1 to Many…
saved by
related reading
- Generalist - GEN-0 / Embodied Foundation Models That Scale with Physical Interactiongeneralistai.com
- A VLA with Open-World Generalizationpi.website
- GEN-1.5: Embodied Foundation Models are One-Shot Learners - Generalist AIgeneralistai.com
- Generalist - GEN-1: Scaling Embodied Foundation Models to Masterygeneralistai.com
- A Unified Model for Motion-Conditioned Robot Co-designtransformer-transformer.github.io
- GEN-0 - Generalist AIgeneralistai.com
- A Steerable Model with Emergent Capabilitiespi.website
- Generating Robot Hands from Human Demonstrationsarxiv.org
- GENE-26.5: Advancing Robotic Manipulation to Human Levelgenesis.ai
- Gemini Robotics 2 brings whole body intelligence to robotsdeepmind.google
- Generalist - The Dark Matter of Robotics: Physical Commonsensegeneralistai.com
- Emergence of Human to Robot Transfer in Vision-Language-Action Modelspi.website