Micro1 offers Robotics Data
ProductOperating Status: Currently Offered
micro1 Robotics Data captures expert demonstrations for physical policy models.
micro1 Robotics Data captures expert demonstrations for physical policy models.
micro1's robotics program collects structured real-world data to improve physical policy models. Domain experts demonstrate tasks with point-of-view and third-person capture across specialized environments and hardware, then the data is labeled, tracked, annotated in 2D and 3D, and quality-checked.
A full-stack deployment lab runs robots in controlled environments to capture interaction data and evaluate performance end-to-end. Use cases include action-level manipulation annotations for vision-language-action training, household and industrial human demonstrations, expert environment datasets, and multimodal stereo, IMU, and multi-camera capture.
Robotics Data Infrastructure is XDOF's data pipeline, collection, and annotation platform for robotics foundation models.
Custom real-world robotics datasets for Physical AI model training.
Scale AI — Physical AI powers next-gen robotics with massive, enriched datasets for physical AI breakthroughs.
A data lab that collects and synchronizes multimodal embodied intelligence data to train robotics and physical AI systems.
Generalist robot policy that controls robots across diverse manipulation tasks.
Datoric's robotics training-data catalog for physical AI teams.
Robotics Data Infrastructure is XDOF's data pipeline, collection, and annotation platform for robotics foundation models.
Wearable-camera data collection and licensing service for training AI systems on real-world physical tasks.
A robot foundation model that powers automation tools deployed directly on manufacturing floors.
Gemini Robotics 2 is Google DeepMind's most advanced vision-language-action model for controlling any robot embodiment.
Physical AI platform that captures scientific lab execution as machine-readable records.
Datoric's world-model and agentic training-data catalog.
Shotwell Robotics Observability is the observability layer for robotics, turning the video data robots already record into automatic failure detection.
Fern learns world models from robot data for scalable policy evaluation and training.
Custom real-world robotics datasets for Physical AI model training.
Scale AI — Physical AI powers next-gen robotics with massive, enriched datasets for physical AI breakthroughs.
A data lab that collects and synchronizes multimodal embodied intelligence data to train robotics and physical AI systems.
Generalist robot policy that controls robots across diverse manipulation tasks.
EgoVerse is an ecosystem for curating human egocentric data and learning from it for robot learning.
Wearable-camera data collection and licensing service for training AI systems on real-world physical tasks.
A robot foundation model that powers automation tools deployed directly on manufacturing floors.
Gemini Robotics 2 is Google DeepMind's most advanced vision-language-action model for controlling any robot embodiment.
Physical AI platform that captures scientific lab execution as machine-readable records.
Datoric's world-model and agentic training-data catalog.
Shotwell Robotics Observability is the observability layer for robotics, turning the video data robots already record into automatic failure detection.
Fern learns world models from robot data for scalable policy evaluation and training.
