Before contact
Object detection, tracking, pose estimation and visible geometry help a system locate things without touching them.
Physical intelligence • Robotics
The sense of touch.In digital form.
Flexible tactile surfaces, sensitive readout electronics and signal processing can help robotic systems estimate contact conditions and respond to the physical world. Different sensor materials and architectures offer different trade-offs.
HOW CONTACT BECOMES DATA
Seeing is not the
same as feeling.
Cameras help a machine locate objects; tactile sensors provide additional information about what happens during physical contact. Capacitive, resistive, piezoelectric and optical approaches can measure different aspects of touch, deformation or pressure distribution.
A sensing layer generates physical measurements. Signal-conditioning electronics and external processing interpret those measurements, estimate contact or slip patterns where appropriate, and inform the controller. No single sensing component independently creates a finished robotic grasping system.
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ContactSpatial sensing arrays
SignalsElectronic signal readout
FeedbackContact and slip interpretation
IntegrationCalibration and system design
Sensor architectures vary by application. Reliability depends on materials, electronics, signal processing, testing and the surrounding system; no product performance is claimed here.
CAMERA + CONTACT SENSING
Vision estimates appearance.
Contact sensors measure interaction.
No sensor makes cameras obsolete across the board. They answer different physical questions and can work together.
During contact
Pressure distribution, local deformation, grip force and onset of slip give direct interaction signals that ordinary cameras cannot determine by themselves.
After measurement
A processing and control loop interprets sensor arrays, combines signals where useful and adjusts the grip or interface. A digitizer alone is not a complete autonomous controller.
Interactive concept
How a surface can register contact.
Explore three hypothetical contact states on a ten-by-ten illustrative sensor grid. This is an educational visualization—not a measured signal, test result or simulation of any commercial product.
Conceptual contact states
Gentle contact
Switch states to illustrate how changing contact patterns could become measurable digital signals.
A contact patch is visible in the illustrative sensor array.
Estimating forces or slip from tactile signals requires calibration, material characterization, suitable electronics and external processing.
BROADER APPLICATIONS
A wider interface landscape.
Tactile sensing research spans robotic hands, prosthetics, wearables, interactive surfaces and input devices. Each application needs its own materials, signal interpretation, safety considerations and validation.
Dexterous grip feedback
Fine-grained contact data can help external processors determine pressure distribution and potential slip in gripper control loops.
Soft electronic skin
Flexible sensor arrays may record movement, deformation or contact when combined with suitable electronics and safe material stacks.
Controllers and smart surfaces
Pressure-aware input devices can extend conventional touch into richer contact-based interactions, subject to full system integration.
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