NeuroScale
Next-Generation Data Capture for Embodied Intelligence
NeuroScale starts with natural human operating chains, capturing surface EMG produced by neural signals driving muscle activity, then fusing it with vision, IMU, and other multimodal data to reconstruct intent, pose, force perception, and tactile feedback during operation.
It records more than the outcome of an action. It also captures how people interact with the physical world and how experience takes shape through operation.
01 / Why NeuroScale
Traditional vision, teleoperation, motion capture, and simulation data often struggle to meet high quality, low cost, and high efficiency at the same time.
NeuroScale improves the balance of quality, cost, and efficiency in embodied-data production through a lightweight neuromotor interface and multimodal capture system.
02 / The Human Operating Chain
Human intent → Neuromuscular signals → Motion → Force → Tactile feedback
03 / What NeuroScale Captures
Motion intent
Continuous gestures
Spatial pose
Active force exertion
Contact state
Slip and tactile feedback
04 / Why It Matters
High-quality physical interaction data is the foundation for fine-grained robot manipulation. NeuroScale brings data representation closer to the source of real operation, providing more complete inputs for learning, evaluation, and deployment.
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