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There ’s a tenacious list of reasons why you do n’t see a destiny of non - vacuum robots in the nursing home . At the top of the tilt is the job of unstructured and semi - integrated environments . No two family are the same , from layout to fire up to surfaces to humans and pet . Even if a automaton can effectively map each home , the place are always in flux .
Researchers at MIT CSAIL this weekare showcasing a new methodfor train home robot in computer simulation . Using an iPhone , someone can scan a part of their home , which can then be uploaded into a simulation .
Simulation has become a fundamental principle component of robot training in recent decades . It allows golem to stress and go bad at chore thousand — or even millions — of times in the same amount of clip it would take to do it once in the real world .
The consequence of break in model are also importantly lower than in real life . Imagine for a moment that teaching a robot to put a mug in a dish washer expect it to discover 100 real - life mugs in the process .
“ grooming in the practical earth in computer simulation is very hefty , because the automaton can practice millions and million of times , ” investigator Pulkit Agrawal says in a picture tied to the research . “ It might have broken a thousand dishes , but it does n’t matter , because everything was in the virtual man . ”
Much like the robots themselves , however , simulation can only go so far when it come to dynamical environments like the place . Making simulation as accessible as an iPhone CAT scan can dramatically enhance the robot ’s adaptability to unlike environments .
In fact , creating a rich enough database of environments such as these finally get the system more adaptable when something is inevitably out of place , be it moving a piece of furniture or leaving a dish on the kitchen counter .
