GIT Researchers to develop robots that use a Kinect sensor to learn by example
Do as I do, not as I say. That is the idea behind a new way to give instructions to robots. Neil Dantam at the Georgia Institute of Technology in Atlanta and colleagues are developing a system in which robots learn by example. Instead of programming a robot to carry out a task, a demonstration could suffice.
Do as I do, not as I say. That is the idea behind a new way to give instructions to robots. Neil Dantam at the Georgia Institute of Technology in Atlanta and colleagues are developing a system in which robots learn by example. Instead of programming a robot to carry out a task, a demonstration could suffice.
However, the robot does not simply mimic the human's actions. The prototype system uses an Xbox Kinect camera
to observe the human performing an activity, then breaks that activity
into a sequence of key actions necessary to carry out the task. These
actions are converted into a general set of instructions – much like
those found in an IKEA furniture instruction manual – that can be interpreted even by non-humanoid robots.
"You want to somehow capture the important aspects of
the human's motion and transfer that to the robot," says Dantam. "Think
about how you'd tell someone how to make a cake," he says. The way
people follow those steps may vary. "An adult might bend down over the
counter to work while a child may stand on tiptoes."
Dantam's system has been tested by teaching a robot
arm to assemble a Lego-like structure consisting of wooden bars and
pegs. A robot can also be taught alternative ways to perform a task by
demonstrating it many times – if it gets stuck doing it one way, it can
try another.
"As robots are already widely used within the manufacturing domain, focusing on assembly tasks makes a lot of sense," says Brenna Argall at Northwestern University in Evanston, Illinois.
"One of the big wins in teaching robots via
demonstration is that the act of developing control paradigms or task
behaviours is no longer restricted to robotics experts," she says.
"Importantly, it now becomes accessible to a broader population of
people, which has a huge potential for making robotics more accessible
to the general public."
The team presented the work at the International Conference on Intelligent Robots and Systems in Vilamoura, Portugal, this week.
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