Every year bags of carpenters abuse their easily and fingers active ability saws and added alarming tasks. In an accomplishment to abbreviate abrasion and let carpenters focus on architecture and added bigger-picture tasks, a aggregation from MIT’s Computer Science and Bogus Intelligence Laboratory (CSAIL) has created AutoSaw, a arrangement that lets you adapt altered items that can again be complete with the advice of robots.
Users can accept from a ambit of carpenter-designed templates for chairs, desks and added appliance — and eventually could use AutoSaw for projects as ample as a accouter or a porch.”If you’re architecture a deck, you accept to cut ample sections of barge to length, and that’s generally done on site,” says CSAIL postdoc Jeffrey Lipton, who was a advance columnist on a accompanying cardboard about the system. “Every time you put a duke abreast a blade, you’re at risk. To abstain that, we’ve abundantly automatic the action application a chop-saw and jigsaw.”
The arrangement additionally gives accepted users added adaptability in designing appliance to be able to fit space-constrained houses and apartments. For example, it could acquiesce you to adapt a board to clasp into an L-shaped active room, or adapt a table to fit in your micro-kitchen.
“Robots accept already enabled accumulation production, but with bogus intelligence (AI) they accept the abeyant to accredit accumulation customization and personalization in about aggregate we produce,” says CSAIL administrator and co-author Daniela Rus. “AutoSaw shows this abeyant for accessible admission and customization in carpentry.”
The paper, which will be presented in May at the International Conference on Robotics and Automation (ICRA) in Brisbane, Australia, was co-written by Lipton, Rus and PhD apprentice Adriana Schulz. Added co-authors accommodate MIT assistant Wojciech Matusik, PhD apprentice Andrew Spielberg and undergraduate Luis Trueba.
How it works
Software isn’t a adopted abstraction for abounding carpenters. “Computer Numerical Control” (CNC) can catechumen designs into numbers that are fed to distinctively programmed accoutrement to execute. However, the machines acclimated for CNC artifact are usually ample and cumbersome, and users are apprenticed to the admeasurement of the absolute CNC tools.
As a result, abounding carpenters abide to use chop-saws, jigsaws, and added duke accoutrement that are low cost, accessible to move, and simple to use. These tools, while advantageous for customization, still put bodies at a high-risk of injury.
AutoSaw draws on able ability for designing, and robotics for the added chancy acid tasks. Application the absolute CAD arrangement OnShape with an interface of architecture templates, users can adapt their appliance for things like size, sturdiness, and aesthetics. Once the architecture is finalized, it’s beatific to the robots to abetment in the acid action application the jigsaw and chop-saw.
To cut barge the aggregation acclimated motion tracking software and baby adaptable robots — an access that takes up beneath amplitude and is added cost-effective than ample automatic arms.
Specifically, the aggregation acclimated a adapted jigsaw-rigged Roomba to cut barge of any appearance on a plank. For the chopping, the aggregation acclimated two Kuka youBots to lift the beams, abode it on the chop saw, and cut.
“We added bendable grippers to the robots to accord them added flexibility, like that of a animal carpenter,” says Lipton. “This meant we could await on the accurateness of the ability accoutrement instead of the rigid-bodied robots.”
After the robots accomplishment with cutting, the user again assembles their new allotment of appliance application step-by-step admonition from the system. When testing the system, the teams’ simulations showed that they could body a chair, shed, and deck. Application the robots, the aggregation additionally fabricated a table with an accurateness commensurable to a human, after a absolute duke anytime accepting abreast a blade.
“There accept been abounding contempo AI achievements in basic environments, like arena Go and basic music,” says Hod Lipson, a assistant of automated engineering and abstracts science at Columbia University. “Systems that can assignment in baggy concrete environments, such as this carpentry system, are awfully difficult to make. This is absolutely a alluring footfall forward.”
While AutoSaw is still a analysis platform, in the approaching the aggregation affairs to use abstracts like wood, and accommodate circuitous tasks like conduct and gluing. “Our aim is to adjust furniture-customization,” says Schulz. “We’re aggravating to accessible up a branch of opportunities so users aren’t apprenticed to what they’ve bought at Ikea. Instead, they can accomplish what best fits their needs.”
Additional advice on MIT’s AutoSaw arrangement is accessible in a contempo commodity from MIT News.
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