RoboMIND dataset reaches 50 million downloads

The RoboMIND dataset, developed by Beijing Humanoid Robotics Innovation Center, has surpassed 50 million global downloads, becoming the most downloaded and fastest-growing open dataset in embodied intelligence. It supports dual-arm coordination, mobile manipulation, dexterous hands, and high-fidelity tactile perception, with over 400,000 motion trajectories and 700+ real-world tasks. The dataset's rapid adoption reflects its importance in advancing robot skills and lowering deployment barriers.

Beijing Humanoid Robotics Innovation Center's RoboMIND dataset has surpassed 50 million global downloads, demonstrating strong industry adoption. The dataset supports dual-arm coordination, dexterous manipulation, and high-fidelity tactile perception, offering over 400,000 motion trajectories and 700+ real-world tasks. Its rapid growth reflects increasing demand for high-quality data in embodied AI research and development.

The RoboMIND dataset, released by the Beijing Humanoid Robot Innovation Center, has surpassed 50 million global downloads, becoming one of the most downloaded open-source datasets in embodied intelligence. It supports dual-arm coordination, mobile operation, dexterous hands, and high-fidelity tactile perception, with over 400,000 dual-arm operation trajectories and more than 700 real-world tasks. The dataset is part of a larger data base with 30+ scenarios and 180+ robots, supporting full data lifecycle from collection to deployment.

The Beijing Humanoid Robot Innovation Center announced that its open-source dataset RoboMIND has exceeded 50 million global downloads. Since its release in December 2025, the dataset has become one of the most downloaded in embodied intelligence, with download speeds increasing significantly over time. RoboMIND is the first dataset to support dual-arm coordination, mobile operation, dexterous hands, and high-fidelity tactile perception, and includes over 400,000 dual-arm operation trajectories covering more than 700 real-world tasks.

The 'RoboMIND' dataset, developed by Beijing Humanoid Robotics Innovation Center, has surpassed 50 million global downloads since its open-source release in December 2025. It is the first dataset to support dual-arm coordination, mobile manipulation, dexterous hands, and high-fidelity tactile perception, enabling comprehensive training for robotic tasks. The dataset includes over 400,000 dual-arm operation trajectories and covers more than 700 real-world tasks.