act_so101_cube_left_right_v2 is an open-source imitation-learning model for robotics, designed to predict and execute action chunks based on teleoperated data. It supports integration with robotics frameworks and is suitable for researchers and developers working on robotic control and policy learning.
In the Other AI space, Act So101 Cube Left Right takes a focused approach. It focuses on enabling robots to learn and execute complex actions from teleoperated data using open-source models. It is built as an open-source project for robotics researchers and developers. Act So101 Cube Left Right is open source under the Apache-2.0 license. It runs on the web, the command line, and API, and it can be self-hosted.
It is developed by dd43534564357, and the product first shipped in 2024. Development happens publicly on GitHub with 25.8k stars and 157 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Act So101 Cube Left Right occupies a relatively distinct niche. Key capabilities include robotics policy, imitation learning, and action chunking.
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dd43534564357/act_so101_cube_left_right_v2 discovered by the PulseGate indexer
