Pocket cube solver : a motorized device for mini cubes

Hensel, Marc

DC Element	Wert	Sprache
dc.contributor.author	Hensel, Marc	-
dc.date.accessioned	2023-08-30T11:35:21Z	-
dc.date.available	2023-08-30T11:35:21Z	-
dc.date.issued	2023-07-31	-
dc.identifier.uri	http://hdl.handle.net/20.500.12738/14102	-
dc.description.abstract	Dealing with artificial intelligence (AI), I was curious how to let computers learn to solve scrambled Rubik's cubes (3x3x3) and Pocket cubes (2x2x2). But wouldn't it be even more fun to demonstrate results by machines that mechanically solve physical cubes? Image to scramble a cube manually, and put it into the machine to unscramble it for you. In this context, I decided to develop a device for the Pocket cube, and I explicitly wanted to design a low-cost device, which is easy to rebuild and use for anyone interested. The design should be based mainly on 3D-printed parts and use two standard servos as motors, only. The device should be controlled by a Laptop, which connects via an Arduino board providing output pins for the servos. Programming applications should be simple by an easy to use Python software interface. The publication documents the device, consisting of the hardware, software for the Arduino board controlling the servo motors, and the Python software interface. A project repository and the 3D print files are available on GitHub and Thingiverse, respectively.	en
dc.language.iso	en	en_US
dc.subject	Reinforcement learning	en_US
dc.subject	Pocket cube	en_US
dc.subject.ddc	004: Informatik	en_US
dc.title	Pocket cube solver : a motorized device for mini cubes	en
dc.type	Working Paper	en_US
dc.description.version	NonPeerReviewed	en_US
tuhh.oai.show	true	en_US
tuhh.publication.institute	Department Informations- und Elektrotechnik	en_US
tuhh.publication.institute	Fakultät Technik und Informatik	en_US
tuhh.publisher.url	https://github.com/MarcOnTheMoon/cubes/blob/main/docs/Hensel_2023_PocketCubeSolver.pdf	-
tuhh.type.opus	ResearchPaper	-
dc.rights.cc	https://creativecommons.org/licenses/by-nc-nd/3.0/	en_US
dc.type.casrai	Working Paper	-
dc.type.dini	workingPaper	-
dc.type.driver	workingPaper	-
dc.type.status	info:eu-repo/semantics/publishedVersion	en_US
dcterms.DCMIType	Text	-
datacite.relation.IsSupplementedBy	https://github.com/MarcOnTheMoon/cubes/blob/main/docs/Lanz_2023_DeepReinforcementLearning.pdf	en_US
item.creatorGND	Hensel, Marc	-
item.languageiso639-1	en	-
item.cerifentitytype	Publications	-
item.openairecristype	http://purl.org/coar/resource_type/c_8042	-
item.creatorOrcid	Hensel, Marc	-
item.fulltext	No Fulltext	-
item.grantfulltext	none	-
item.openairetype	Working Paper	-
crisitem.author.dept	Department Informations- und Elektrotechnik	-
crisitem.author.orcid	0009-0005-8888-3761	-
crisitem.author.parentorg	Fakultät Technik und Informatik	-
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