SPM force feedback: Difference between revisions
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* [[Scanning probe microscopy]] | * [[Scanning probe microscopy]] | ||
* [[SPM software]] | * [[SPM software]] | ||
* [[SPM user interfaces]] | * '''[[SPM user interfaces]]''' | ||
== External links == | == External links == | ||
Revision as of 10:43, 23 June 2025
This page is more about force feedback for the human operator in order to develop an intuition for nanoscale forces.
This is not so much about force feedback for the automatic control loop.
The Δf signal is usually used directly used for that in "constant Δf mode" (wiki-TODO: (double check)).
Constant height mode is commonly used for nc-AFM.
Why not just feed forces to machine learning AI?
Q: Why not hook it up to machine learning AI? Doesn't that make force feedback for human operators obsolete?
No. But hooking up AI can (and should) be done too. This does not make force feedback for human operators obsolete.
There is still the need for communicating the results of the AI (in terms of it's understanding) to human operators and
vice versa communicating guiding envelopes for the AI's further desired actions.
Communicating forces directly as what they are, forces,
rather than via some other indirect "visualization/audioialization/textualitation"
should very much be the most efficient (and thus most enjoyable) communication channel.
nc-AFM (atoic force microscopy) does not meature foces but stiffnesses
A historic naming accitent. Just like nc (non contact) is one too.
The nc-AFM technique is actually measuring surface stiffness rather than surface forces.
So it is actually stiffness feedback rather than force feedback.
Forces can be reconstructed.
Since the delta_f signal is averaging over the oscillation amplitudes range
it is not a simple integration but rather some more complex method needs to be used.
In the small amplitude limit the math should become equivalent with a simple integration again fro any used method. (TODO: Sow these limits for the two methods eventually. as this may help in intuition.)
Existing attempts & lack of correspondence to real forces
Existing 3D force feedback hardware & (un)suitability
Note that this is quite unrelated and orthogonal to VR.
- Force feedback there amouts to mere vibrations and not really forces.
Granted vibrations may be adjustable in intensity and thus allow a very low resolution analog to forces of one sign and one direction.
One direction is nc-AFM limit anyway but tther restrictions are way too severe- - There is no need for a 3D VR environment to benefit from force feedback. In how far a 3D VR environment my be helpful or not si an entirely different topic.
Cheap 3D force feedback devices originally made for gaming (there was one called "Novint Falcon") have way too low resolution to be useful.
(wiki-TODO: Find the article again that made that very clear.)
Expensive 3D force feedback devices as of 2025 (3k$ to 4k$) seem to be produced by only one company.
"Touch" from 3D Systems. Formerly "Geomagic Touch" or (wiki-TODO: find other names this was sold under).
These seem to have sufficient force resolution to be useful.
DIY build force feedback devices may be an option too.
Unclear how difficult to built to sufficient specs.
Serial robot arm designs like the afore mentioned "Touch" seem difficult. Other geometries likely easier.
Maybe 3D printer standard stepper motors spring scales and a few strings suffice at the hardware side.
Perhaps useful components:
- Polulu – Tic Stepper Motor Controllers for minimizing electroncis hardware
- Amazon – QWORK® Federwaage, Set mit 5 transparenten Federwaagen zum Aufhängen (1N, 5N, 10N, 20N, 30N) (upper end?)
- some thin braided fishing line - no stretch stiffness is key
Related
External links
- (open access) 2023 – Haptic sensation-based scanning probe microscopy: Exploring perceived forces for optimal intuition-driven control
Freeman M, Applestone R, Behn W, Brar V. Haptic sensation-based scanning probe microscopy: Exploring perceived forces for optimal intuition-driven control. Ultramicroscopy. 2024 Jan;255:113856. doi: 10.1016/j.ultramic.2023.113856. Epub 2023 Sep 22. PMID: 37783064. - 3D Systems Touch haptic device
https://www.3dsystems.com/haptics-devices/touch