Through its global collection network, multimodal capture systems, and quality-driven pipelines, Robgence helps robotics teams collect, annotate, and deliver training-ready datasets at production scale for embodied AI from real-world interaction experience.
Deploy large-scale data capture across homes, warehouses, factories, and offices using calibrated sensor rigs. Capture RGB video, depth, IMU, audio, and robot state data across diverse environments and interaction scenarios.
Align and synchronize heterogeneous data streams such as RGB-D, audio, proprioception, and motion trajectories. Structure data for imitation learning, reinforcement learning, and vision-language-action (VLA).
Apply multi-stage validation pipelines with annotation review, ensuring high-quality labels for grasp affordances, object interactions, and motion primitives.
Deliver clean, versioned datasets compatible with modern robotics training stacks like OpenVLA and pi0, ready for training, evaluation, and deployment.
