Tissue & Sensing
Multi-layered surfaces that detect touch and pressure, layer by layer as in the original. Here you learn how they are built and what they can do.
Key points
Skin is our largest sense organ. It captures not only that something is touched, but also where, how hard and how the contact changes. This very resolution is what we want to achieve technically.
Many measuring points are spread over the area and together form a picture of the touch.
Each layer has its own task: making contact, bundling signals, carrying the structure.
The signals flow directly into perception and learning and do not stay on their own.
Skin as a model
Skin consists of three main layers. Our structure follows this arrangement.
Structure
Pick a layer and see what it does.
The outer layer is the first contact with the surroundings. It takes up touch and pressure and passes them on to the layer beneath.
The measuring points are located here. They register where and how hard contact occurs and combine the single signals into one picture.
The base gives the structure its form and connects the sensing to the overall system. It is modeled on the subcutis: holding and connecting.
From stimulus to signal
Between contact and understanding lie five stations.
The surface takes up touch and pressure.
Measuring points register where and how hard the contact is.
The signal layer combines the single signals.
The signal goes to the overall system.
AI classifies the touch in context and learns from it.
Model in detail
Skin holds different sensory cells, each specialized in something different. Pick one and see what we derive from it.
Merkel cells. Close to the surface, receptors report sustained pressure and fine detail, such as the edge of an object. Their fields are small, so the resolution is high.
Meissner corpuscles. They respond to light brushing and to changes. If the stimulus stays the same, they go quiet. So they mainly report that something is happening.
Pacinian corpuscles. Deeper in the skin sit receptors that feel fast vibrations, for example when a tool slides over a surface or something begins to slip.
Ruffini endings. They respond when the skin stretches, for example at fingers and joints. That is how the body knows how the hand is currently shaped.
Simplified illustration. The scientific literature describes further receptor types.
Possibilities
Everywhere technology is meant to feel contact instead of just measuring distances.
Fine differences in contact and pressure are captured across an area, not just at a single point.
Touch provides information on the shape, surface and position of things that cannot be seen.
The multi-layered structure is designed for lasting use and distributes load across several levels.
The signals flow into perception and learning so that a whole picture arises from single impressions.
Principles
A touch is not processed in one step. Taking up, gathering and carrying are separate tasks, each handled by its own layer. This keeps the structure clear and improves the resolution.
Instead of single sensors, the structure covers an area with many measuring points. This creates a picture of the touch: where is the contact, how large is it and how does it change?
We adopt the functional principle of skin, that is the arrangement into layers with different tasks, and implement it with technical means. We do not copy skin.
Sensing, perception and movement do not arise separately here. Biologists and engineers define the structure together so that the signals can later be used optimally in the overall system.
Interplay
Only together with perception and movement does an overall system arise: the sensing feels, the AI classifies and the drives react.
Questions
These are multi-layered surfaces modeled on skin that detect touch and pressure and pass the signals on to the overall system.
Skin is a very capable sense organ. It captures contact finely resolved over a large area and is robust at the same time. Its structure of three layers with their own tasks is a proven principle.
It consists of three layers: a surface that takes up touch and pressure, a signal layer that gathers and passes on stimuli, and a carrier layer that gives support and connects the system.
Touch and pressure, across an area and finely resolved. The signals are prepared so that they can be used further in perception and learning.
The signals from the sensing are a basis for embodied AI. It classifies touch in context and learns from experience. More on this on the Biology & AI page.
We check internally, and in 2026 the results will be tested independently at leading universities.
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