Embodied Data Collection

Embodied Data Collection

Build your own data pipeline and access multimodal real-world robot data for embodied AI research, robot learning, and model training.

Key Challenges We Address

Limited Data Diversity

Public and simulated datasets rarely capture the diverse objects, environments, and contact-rich interactions required for robust real-world robot learning.

High Setup Cost

Building a complete data-collection workflow requires significant investment in robots, sensors, teleoperation systems, software, and task environments.

Poor Task Alignment

Off-the-shelf datasets often fail to match the target tasks, operating conditions, sensor configurations, or data formats required for application-specific training.

Difficult to Scale

Maintaining consistent data quality across operators, environments, and collection sites becomes increasingly challenging as dataset volume and task complexity grow.

Core Capability Data

4 +
Scenarios
10K +
Hours
1M +
Data Records

How The Solution Works

Define Tasks and Configure the Workflow

Define Tasks and Configure the Workflow

Align on target tasks, robot embodiments, operating scenarios, data modalities, and delivery requirements, then configure the robots, sensors, teleoperation tools, and task environments.

Capture Multimodal Demonstrations

Capture Multimodal Demonstrations

Record human demonstrations and robot interactions across different scenarios, including RGB, depth, 6D pose, IMU, trajectories, joint states, gripper states, and end-effector poses.

Validate and Deliver Training-Ready Data

Validate and Deliver Training-Ready Data

Synchronize multimodal data, review data quality, and deliver structured datasets in formats aligned with the customer’s robot-learning and model-training workflow.

WATCH THE SOLUTION

Related Platforms

Flexible data collection spanning from teleoperation, UMI-based manipulation, to egocentric data recording.

COBOT MAGIC

COBOT MAGIC

Outfit with top modules for autonomous material handling, significantly reducing manual labor in factories and warehouses.

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OPEN NERO

OPEN NERO

Outfit with top modules for autonomous material handling, significantly reducing manual labor in factories and warehouses.

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Pika Pro

Pika Pro

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Universal Master Arm

Universal Master Arm

Combine with a collaborative robotic arm to perform complex pick-and-place or inspection tasks in dynamic environments.

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FAQ

AgileX Robotics' data solutions can support the development and evaluation of vision-language-action (VLA) models, imitation learning and behavior-cloning policies, robot foundation models, embodied world models, and task-specific manipulation or mobile manipulation policies. The required data specification should be defined around the target model, robot embodiment, and capability being trained.

Yes. Custom data collection can be configured around the target task, robot platform, end effector, objects, operating environment, sensing requirements, data volume, and delivery specification. This includes industrial workspaces, home environments, tabletop tasks, mobile manipulation workflows, and other real-world scenarios.

AgileX supports multiple methods for robot learning data collection, including master-follower teleoperation, VR teleoperation, UMI-based gripper manipulation capture, egocentric first-person data collection, and custom-built collection systems. The appropriate method depends on the task precision, robot embodiment, environment, and target model.

Depending on the collection configuration, datasets can include RGB images, depth, point clouds, 6D pose, IMU signals, joint states, gripper states, end-effector pose, trajectories, and so on. Data modalities are selected according to the task and model-training objective.

Yes. AgileX Robotics provides both data collection platforms and scenario-specific data itself. Teams can work with AgileX Robotics to access or commission real-world robot data for target tasks without first building an in-house collection environment, teleoperation workflow, or data operations team.


Yes. Data collection workflows can be adapted to different robotic arms, end effectors, mobile robots, and mobile manipulation systems. Compatibility is evaluated based on the robot control interface, sensor configuration, task requirements, and desired data schema.


Data is delivered according to the agreed project requirements. Delivery format, annotation requirements, and quality-review criteria are defined during project scoping.Hard drive delivery is available.



AgileX Robotics provides relatively cost-effective data collection solutions tailored to different data requirements. Contact our team for a customized quotation and project consultation.





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