Lightweight Baseline
Compact, easy-to-use hardware for scalable in-the-wild human data collection. Baseline configurations include egocentric unit, wrist unit, gripper unit, and compute unit.
Embodied AI Data
SenseXperience
Scalable, customizable real-world data solutions for robotics foundation models and world models
Overview
SenseXperience is IO's series of proprietary integrated hardware and software solutions for capturing high-quality, real-world human egocentric and UMI-style data. With various configurations available, including the lightweight baseline, customizable versions, and multi-modal solutions including tactile sensors, SenseXperience is designed for scalable human data.
Through integration with EmbodiFlow data pipelines, SenseXperience offers seamless transformation of raw image, audio, IMU, and sensor data into ready-to-use training data for robotics models through IO-Agent-Lab custom-trained post-processing algorithms.
See It In Action
SenseXperience in Action
Check out our latest product demo below.
Core Features
Built for scale and precision
Modular & Customizable
Modular architecture allows flexible configuration to meet diverse data requirements. Customization across cameras, grippers, sensors, and data processing pipelines.
Multi-Modal Capture
Advanced human multimodal data capture including motion capture and tactile gloves. Enables richer, high-precision datasets for robotics and embodied AI.
Integrated Post-Processing
Hardware natively integrated with IO EmbodiFlow for seamless raw data transformation including timestamp alignment, pose estimation, and gesture recognition via IO-Agent-Lab.
Get Started
For scaling, less is more. You define, we design.
Frequently asked questions
- What modalities can SenseXperience capture?
- The baseline kit captures egocentric video, wrist-view observations, gripper interactions, audio, and IMU signals, with room to extend into motion capture, tactile sensing, and other modalities.
- How does captured data become training-ready?
- Native EmbodiFlow integration carries raw capture into timestamp alignment, pose estimation, gesture recognition, review, and export—supporting formats such as LeRobot, HDF5, and MCAP.