1) A flexible tactile skin (e-skin) with many taxels (usually capacitive) covers the robot's body surface in interconnected modules. 2) Taxels measure pressure/contact at many points simultaneously; the data is aggregated over a distributed bus (e.g. serial/CAN). 3) The system localizes contacts and estimates the force distribution over the surface (a tactile map). 4) The control layer uses this information to react to contact (safe stop/yield), for whole-body contact manipulation, and as an input modality for learning.
Robots that sense touch only in the hand are blind to contact with the rest of the body - risking unsafe collisions and preventing whole-body contact manipulation. Full-body sensing gives contact awareness everywhere, for safety and richer manipulation.
Flexible, interconnected modules with many taxels covering the body surface.
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Individual sensors (usually capacitive) measuring pressure/contact at a point.
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Collecting signals from many taxels and delivering them to control (a distributed bus).
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Localizing contacts and estimating the force distribution over the body surface.
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Covering the whole body with thousands of taxels creates wiring, bandwidth and processing challenges.
Flexible skin wears out, and taxels require calibration (drift, temperature, hysteresis).
Integrating the touch modality with other sensors into coherent perception is non-trivial.
IIT develops a distributed capacitive tactile skin covering the iCub robot's body - a milestone for whole-body sensing.
Development of scalable, flexible e-skins and inclusion of touch as a modality in robot learning.
Modern humanoids (e.g. Generative Bionics, iCub descendants) integrate distributed touch for safe physical interaction.
Time complexity: Nie dotyczy (paradygmat sensoryczny, nie algorytm). Space complexity: Nie dotyczy.
As the taxel count (hundreds-thousands) grows, so does the data to read, aggregate and interpret at low latency; the bottleneck is often the bus and tactile-map processing, not the sensing itself.
Which body parts are covered by the skin (only hands/arms vs whole body).
Number of taxels per unit area - spatial resolution of touch.
Capacitive, resistive, optical or vision-based sensing.
The response depends on detected contact; the sensing paradigm itself is not a compute paradigm.
Reading and preprocessing taxels is inherently parallel; the tactile-map integration ties results together.
A sensing paradigm; tactile-map processing can run on the robot's edge CPU/microcontrollers, independent of accelerator type.
