AGIBOT Launches GO-3 Preview, Achieves Top Rankings in Embodied AI Benchmarks
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- agibot.com
AGIBOT has introduced the GO-3 Preview, an advanced embodied foundation model that enhances learning throughout the entire lifecycle of robot training and deployment. This model has achieved first-place rankings on three significant embodied AI benchmarks: RoboDojo, RoboTwin, and RoboColiseum, showcasing its capabilities in general-purpose learning and real-world adaptability.
The importance of GO-3 Preview lies in its innovative approach to embodied AI, integrating pre-training, post-training, and post-deployment learning. This full-lifecycle scaling enables robots to not only learn tasks but also refine their skills through real-world interactions, addressing the complexities of physical environments that require precise manipulation and anticipation of changes.
AGIBOT aims to fully open-source GO-3 Preview by the end of 2026, marking a significant milestone in the development of embodied AI technologies. This initiative will allow for broader collaboration and advancement in the field, as the model is designed to enhance robots' capabilities through continuous learning from their experiences in various tasks and environments.
Original report
AGIBOT Unveils GO
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