XDOF offers Robotics Data Infrastructure
Product
Robotics Data Infrastructure is XDOF's data pipeline, collection, and annotation platform for robotics foundation models.
- Currently Offered
Robotics Data Infrastructure is XDOF's core platform for producing the physical interaction data that robotics foundation models need. It combines data pipelines, collection tools, and annotation systems so frontier AI labs and robotics companies can generate, clean, label, and evaluate robot training data at production scale.
The platform spans a three-tier data pyramid: teleoperation on deployed robots, general teleoperated collection through the GELLO framework, and planned egocentric capture from wearable sensors. It also underpins open releases such as ABC-130K, a 130,000-episode bimanual manipulation dataset built with UC Berkeley.
Robotics Data Infrastructure is XDOF's data pipeline, collection, and annotation platform for robotics foundation models.
A data lab that collects and synchronizes multimodal embodied intelligence data to train robotics and physical AI systems.
Mind Robotics develops an industrial robotics platform automating dexterous, reasoning-intensive manufacturing tasks with AI models, hardware, and deployment infrastructure.
A robot foundation model that powers automation tools deployed directly on manufacturing floors.
Robotics Observability Platform is Foxglove software for visualizing, debugging, and collaborating on robotics data.
Fern learns world models from robot data for scalable policy evaluation and training.
Shotwell Robotics Observability is the observability layer for robotics, turning the video data robots already record into automatic failure detection.
A platform of mobile and manipulator robots for industrial inspection and warehouse automation.
Generalist robot policy that controls robots across diverse manipulation tasks.
Gemini Robotics 2 is Google DeepMind's most advanced vision-language-action model for controlling any robot embodiment.
Dill Autonomy Engine is the AI software layer that plans grasps and motions for autonomous truck and container unloading.
Instance verifies robot task completion from camera footage, returning grounded success evidence for every episode.
Datoric's build-to-spec data collection service for AI teams.
Datoric's world-model and agentic training-data catalog.
Expert-curated datasets and reinforcement learning environments for training and evaluating AI models.
micro1 Robotics Data captures expert demonstrations for physical policy models.
Datoric's robotics training-data catalog for physical AI teams.
A data lab that collects and synchronizes multimodal embodied intelligence data to train robotics and physical AI systems.
EgoVerse is an ecosystem for curating human egocentric data and learning from it for robot learning.
Mind Robotics develops an industrial robotics platform automating dexterous, reasoning-intensive manufacturing tasks with AI models, hardware, and deployment infrastructure.
A robot foundation model that powers automation tools deployed directly on manufacturing floors.
Robotics Observability Platform is Foxglove software for visualizing, debugging, and collaborating on robotics data.
Fern learns world models from robot data for scalable policy evaluation and training.
Shotwell Robotics Observability is the observability layer for robotics, turning the video data robots already record into automatic failure detection.
A platform of mobile and manipulator robots for industrial inspection and warehouse automation.
Generalist robot policy that controls robots across diverse manipulation tasks.
Gemini Robotics 2 is Google DeepMind's most advanced vision-language-action model for controlling any robot embodiment.
Dill Autonomy Engine is the AI software layer that plans grasps and motions for autonomous truck and container unloading.
Ango Hub is iMerit's human-in-the-loop data platform for AI development, combining annotation, workflow design, validation, and analytics.
Instance verifies robot task completion from camera footage, returning grounded success evidence for every episode.
Datoric's build-to-spec data collection service for AI teams.
Datoric's world-model and agentic training-data catalog.
Expert-curated datasets and reinforcement learning environments for training and evaluating AI models.