Use cases

Solve the right tactile sensing problem

Compare sensor requirements ->

Start with a failure you can observe. A slipping object, missing contact location, drifting signal, and unusable training data need different measurements. These workflows help define what to test next.

Robot hand, gripper, and assistive surface examples connected by blue tactile sensing signals.
Application-context visual for robot skin, e-skin, and tactile AI use cases.

Use case

An object slips after the gripper closes

Problem: Successful initial contact does not establish that the grasp will survive movement or disturbance.

Impact: Separate slip detection from the recovery action and the final object-retention outcome.

Suggested route: Start with slip cues, then compare sensor latency, false alarms, and closed-loop recovery evidence.

Note: Record disturbances, contact geometry, and failed recoveries as well as successful trials.

Use case

A robot cannot tell where body contact occurs

Problem: A fingertip sensor covers only a small part of the surfaces that may contact the environment.

Impact: Map likely contact regions before selecting distributed sensing and connecting readings to robot coordinates.

Suggested route: Review whole-hand, arm, and body coverage together with wiring, compliant mounting, and data routing.

Note: Contact awareness is an input to a control system; it does not establish safety certification.

Use case

Sensor readings change after remounting

Problem: A new contact surface, lighting condition, or mounting arrangement can invalidate an earlier baseline.

Impact: Keep raw measurements, reconstructed geometry, and force estimates separate when diagnosing drift.

Suggested route: Define the measurement target, record a baseline, and validate calibration on held-out contacts.

Note: An optical image is not automatically a calibrated force map.

Use case

A robot policy needs reusable touch data

Problem: A paper describing tactile recordings does not guarantee downloadable data or a reusable license.

Impact: Check access, modality, embodiment, tasks, synchronization, and splits before choosing a dataset.

Suggested route: Use the tactile dataset directory, then inspect the primary files and evaluation protocol.

Note: Keep adjacent frames from one trajectory out of both training and test splits.

Define success before choosing hardware

Write down the object, contact surface, operating conditions, measured signal, and desired outcome. Then compare a baseline with the tactile system using the same task and failure criteria.