raunaqmb

5 ms·

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by raunaqmb 1y ago
That's a great question! You probably need 2x the thickness of the magnets just so there's some amount of deformation possible. Could you clarify which modeling you are talking about for the deformation estimation? Custom geometri
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Show HN: A touch sensor you can 3D print in any shape and size(e-flesh.com)
9 points by raunaqmb 1y ago|3 comments
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Show HN: [OpenSource] Your iPhone is a robotics data collection/streaming device(anysense.app)
9 points by raunaqmb 2y ago|0 comments
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by raunaqmb 2y ago
The fun thing about using microparticles is that there's no dead zone! In fact, the edge response is even stronger (as you can see on the video on our website) because despite the distance from the chips, the skin is much more deformab
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by raunaqmb 2y ago
We only leave the circuit design out because it is identical to Reskin! https://ReSkin.dev More than happy to answer questions about it either here or on my email as the corresponding author on the paper!
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by raunaqmb 2y ago
You could, and this is what we did with ReSkin, https://ReSkin.dev The reason we don't want to do this is that it is difficult to cover all possible characteristics. Say we do single point contact localization, and 3-axis f
7.
by raunaqmb 2y ago
While the sensor gives us direction vectors, they serve as good proxies for contact location, as we showed with ReSkin, https://reskin.dev . That being said, the exact quantities the policy depends on are hard to interpret, given
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by raunaqmb 2y ago
Exactly! You need little to no re-calibration. With capacitative sensors, it is unclear from existing literature if it is possible to detect shear. Additionally, they generally operate at significantly lower frequencies.
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by raunaqmb 2y ago
While this is possible, it would create stress concentrations within the elastomer and could significantly affect its durability. We saw this effect even when using larger magnetic particles as with ReSkin, https://reskin.dev . I
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by raunaqmb 2y ago
This is a very insightful summary, thank you! A few things to add about AnySkin that might be relevant: - AnySkin expressly handles wear and gunk by being replaceable. So if it wears out, and you have a heuristic or learned model for the ol
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by raunaqmb 2y ago
As for what it is sensing, we learn end to end policies in this case, and allow the neural network can pick up on whatever it needs for the particular task! but we have run experiments with a predecessor of AnySkin, ReSkin: https:/&#x
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by raunaqmb 2y ago
We are just collecting emails on the Google form as contact information to get more details when shipping samples. I am sorry that the form is asking for a google account - we will fix that as soon as possible.
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by raunaqmb 2y ago
Yes, and importantly we find that visuotactile policies work even when replacing skins. This hasn't been shown before, to the best of our knowledge, and opens the door to a number of exciting large-scale applications of this sensor.
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by raunaqmb 2y ago
We use the MLX90393
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by raunaqmb 2y ago
Yes, you can 3D print a mold and we release this design tool: https://cad.onshape.com/documents/f3ec62110b01a3ad0fcb6d85/w... You can make whatever 2D shape you want in shape_sketch, as long as it is within the bo
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by raunaqmb 2y ago
Yes! The sleek form factor leaves a lot of room to integrate other sensors and modalities!
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Show HN: Put this touch sensor on a robot and learn super precise tasks(any-skin.github.io)
390 points by raunaqmb 2y ago|66 comments
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Show HN: AnySkin - Plug-and-play tactile skins for robotics(any-skin.github.io)
7 points by raunaqmb 2y ago|1 comments
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by raunaqmb 2y ago
Hello! Wanted to share our new work on AnySkin -- a new tactile sensor. Most recent developments in robotics continue to ignore touch: but AnySkin has the potential to change that. Our most exciting result: Learned visuotactile policies for