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The title could be from the Hitchhiker's Guide to the Galaxy: Sensors for impossible stimuli.

A paper claiming to have the perfect production technique for bio-inspired robotics.

coming soon to a garden near you: Snail Sensor Networks

IR sensor from the fire beetle

Biomimetic IR sensor (Berkeley)

Embedded sensors in humans monitoring specific health parameters.

Completely crazy robots, including sensors for joint position, joint forces, ground contact...

"As sensors in digital cameras fast approach the 127 megapixels of the human eye, clinical trials are under way to implant this technology directly into the retina".

Wow

Hard work in functional materials is driving the development of new wearable electronics that could be advantageous for communications and sensing is being pursued in the Advanced Functional Fabrics of America Institute. Through embroidering circuits into fabric with 0.1 mm precision full integration of electronic components such as sensors and computer memory devices into clothing is now possible.

so what about a space sensor for measuring thermal efficiency of buildings? Can you have a look ?

of interest to Tom's project?

Mantis shrimp seem to have 12 types of photo-receptive sensors - but this does not really improve their ability to discriminate between colors. Speculation is that they serve as a form of pre-processing for visual information: the brain does not need to decode full color information from just a few channels which would would allow for a smaller brain. I guess technologically the two extremes of light detection would be RGB cameras which are like our eyes and offer good spatial resolution, and spectrometers which have a large amount of color channels but at the cost of spatial resolution. It seems the mantis shrimp uses something that is somewhere between RGB cameras and spectrometers. Could there be a use for this in space?

> RGB cameras which are like our eyes ...apart from the fact that the spectral response of the eyes is completely different from "RGB" cameras (http://en.wikipedia.org/wiki/File:Cones_SMJ2_E.svg) ... and that the eyes have 4 types of light-sensitive cells, not three (http://en.wikipedia.org/wiki/File:Cone-response.svg) ... and that, unlike cameras, human eye is precise only in a very narrow centre region (http://en.wikipedia.org/wiki/Fovea) ...hmm, apart from relying on tri-stimulus colour perception it seems human eyes are in fact completely different from "RGB cameras" :-) OK sorry for picking on this - that's just the colour science geek in me :-) Now seriously, on one hand the article abstract sounds very interesting, but on the other the statement "Why use 12 color channels when three or four are sufficient for fine color discrimination?" reveals so much ignorance to the very basics of colour science that I'm completely puzzled - in the end, it's a Science article so it should be reasonably scientifically sound, right? Pity I can't access full text... the interesting thing is that more channels mean more information and therefore should require *more* power to process - which is exactly opposite to their theory (as far as I can tell it from the abstract...). So the key is to understand *what* information about light these mantises are collecting and why - definitely it's not "colour" in the sense of human perceptual experience. But in any case - yes, spectrometry has its uses in space :-)

"An elegant combination of electronics and elastic materials has been used to construct a small visual sensor that closely resembles an insect's eye. The device paves the way for autonomous navigation of tiny aerial vehicles."

Luca Turin presents a theory according to which the sense of smell is aroused by molecular vibrations instead of the shape-based compatibility with receivers on the proteins.

Not easily digestible piece of esa document, but to prove Paul's point. And yes, they have already planned to train neural networks on a database of different water types, so that the satellite figures out from the combined retrieval of backscattering and absorption = f(λ) which type of water it is looking at. Type of water relates to οptical clarity of the water, a variable called turbidity. We could do this as well for mapping iron fertilization locations if we find its spectral signature. Lab time?????

Physicists: Can this work also outside water?

The biophysics guy with the good paper.