Multimodal Data Collection for Embodied AI

Collect real-world robot learning data with vision, tactile signals, IMU, pose and gripper state.

T-Grip Suite and OmniView Suite help robotics teams build synchronized manipulation datasets for VLA, imitation learning, diffusion policy, teleoperation and in-the-wild robot teaching.

4+Sensor modalities
SDKSecondary development
$19.1kCombined package
RGB-D
IMU
Pose
Tactile
Gripper
Timestamped streams
Robot-ready actions
Model-training datasets

The Bottleneck

Robot models need physical interaction data, not only videos.

For contact-rich tasks such as insertion, alignment, cable handling and delicate grasping, visual data alone often misses force, touch and micro-motion cues. Our system is built to capture those signals in a developer-friendly workflow.

01

Aligned multimodal records

Capture vision, tactile/contact data, IMU, 6-DoF pose and gripper state around one task timeline.

02

Lower-cost real-world teaching

Use handheld and wearable workflows to collect data before building expensive full robot workcells.

03

Open development direction

Package delivery can include drivers, SDK, calibration tools, export utilities and retargeting interfaces.

Products

Two suites, one complete embodied-data workflow.

T-Grip focuses on manipulation and contact data. OmniView focuses on first-person wearable context. Together they cover both task execution and operator environment.

Manipulation Data

T-Grip Suite

A dexterous data collection gripper for handheld capture, teleoperation and robot-teaching workflows.

  • Joint motor, handle, IMU, RGB-D camera, tactile sensor and finger sleeve architecture.
  • Designed to record TCP pose, gripper state and synchronized manipulation signals.
  • Suitable for insertion, alignment, grasping, assembly and tactile-vision learning.
  • Includes secondary-development software package development.
Wearable Perception

OmniView Suite

A wearable data collection system for first-person, mobile, bimanual and in-the-wild operation data.

  • Compute board, battery, contact pad, stretch strap, camera and IMU architecture.
  • Designed for scene capture, wearable sensing and operator-context data.
  • Suitable for agriculture, mobile manipulation, bimanual teaching and field collection.
  • Includes secondary-development software package development.

Workflow

From synchronized acquisition to robot-learning datasets.

The pipeline is designed around timestamped sensor streams, software alignment, visual stitching, SLAM-style scene understanding and final data output for downstream model training.

Multimodal data collection and synchronization workflow

System Direction

Built as data infrastructure for robotics teams.

Exact camera, IMU, tactile and synchronization specifications can be confirmed by customer configuration and R&D validation.

Data modalities RGB-D / camera data, IMU, tactile or contact-related signals, gripper state and 6-DoF pose-oriented data.
Dataset structure Timestamped streams, TCP pose, Delta Pose conversion, image/video records and robot-learning dataset export.
Developer support Drivers, calibration tools, data export utilities, SDK and retargeting interfaces can be provided by project scope.
Target workflows VLA, imitation learning, diffusion policy, teleoperation, manipulation data collection and robot policy training.

Pricing

A cost-effective entry point for multimodal embodied-data collection.

T-Grip Suite

¥59,800 ≈ $8,800 USD

Dexterous data collection gripper suite with secondary-development software package development.

OmniView Suite

¥75,800 ≈ $11,150 USD

Wearable perception and data collection suite with secondary-development software package development.

Best-fit Customers

For teams turning physical interaction into model-ready data.

Embodied AI startups
Robot learning labs
Humanoid robot teams
Agricultural robotics
Precision assembly automation
VLA and imitation-learning teams

Contact

Tell us your target task, robot platform and data format.

We will suggest a suitable T-Grip / OmniView configuration, demo plan and development support scope.

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