smolvla_so101_t2_v3 is an open-source robotics policy model for imitation learning, distributed via Hugging Face. It enables researchers and developers to train, evaluate, and deploy manipulation policies for robotic systems, supporting fine-tuning and integration with robotics frameworks.
In the Other AI space, Smolvla So101 T2 takes a focused approach. It focuses on providing an open-source robotics policy model for imitation learning and manipulation tasks in research and development. Smolvla So101 T2 is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API, and it can be self-hosted.
heongyu builds and maintains Smolvla So101 T2, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 158 commits in the last 90 days. PulseGate's similarity index places it among 6 comparable tools. Among its 5 catalogued features are imitation learning, robotics policy, and open weights.
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