PaXini Tactile Sensor Technical Documentation
Signal structure, system assumptions, integration workflow, and deployment notes for tactile sensing in manipulation systems.
Sensing Architecture
PaXini PX-6AX GEN3 is built around dense, spatially distributed tactile sensing rather than single-point force detection. The system is designed to expose local contact geometry, directional force information, and temporal changes across the sensing surface so downstream models can reason about slip, shear, incipient contact, and force redistribution.
Output Semantics
The expected output is not just a scalar force number. Each frame should be treated as a structured tactile observation made of per-cell triaxial force values plus an aggregated contact state. This makes it easier to fuse touch with vision, joint states, and policy metadata during learning or evaluation.
Calibration Workflow
Before using the sensor in dataset collection, teams should validate baseline noise, ensure stable mechanical mounting, verify contact repeatability under known loading conditions, and check how the sensor behaves during repeated low-force interactions. Calibration is not just about accuracy in isolation; it is about preserving consistency across sessions so policy training data remains trustworthy.
Mechanical Integration
The sensor should be mounted so contact events are mechanically meaningful relative to the task. In practice that means controlling how the sensing layer is exposed, how the end-effector distributes pressure, and how cable routing or protective covers affect deformation behavior. Mechanical integration has a direct effect on data quality, not just packaging.
Software Integration
In most learning workflows, the tactile stream should be timestamped and logged together with joint states, actions, camera frames, and task metadata. The more consistent the observation packaging is, the easier it becomes to train multimodal policies, replay failures, or compare operator demonstrations across hardware iterations.
Best practice — Treat tactile signals as part of the full robot observation schema, not as an auxiliary debug channel. That usually leads to better dataset quality and more reusable evaluation pipelines.
Deployment Checklist
- Verify stable mounting and cable routing before contact testing.
- Record a clean no-contact baseline for reference.
- Check repeatability under repeated low-force contacts.
- Log tactile frames with synchronized task and robot state metadata.
- Validate failure cases such as partial contact, shear, and slip.