Indian-American working on robots to improve daily life
Monday, September 27, 2010 01:20:14 PM,
IANS
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Washington:
They're mundane, yet daunting tasks: Tidying a messy room or
assembling a bookshelf from a kit of parts. Fetching a hairbrush
for someone who can't do it herself. What if a robot could do it
for you?
Assistant professor of computer science Ashutosh Saxena at the
Cornell University in the US, who did his B. Tech. from the Indian
Institute of Technology, Kanpur, in 2004, is working to bring such
robots into homes and offices.
Saxena, who joined the Cornell faculty in 2009, believes robots
can make people's lives better and more productive, according to a
Cornell release.
"Just like people buy a car, I envision that in five to 10 years,
people will buy an assistive robot that will be cheaper or about
the same cost as a car," Saxena said.
Saxena leads Cornell's Personal Robotics Lab, which develops
software for complex, high-level robotics.
Among the lab's goals are programming robots that can clean up a
disheveled room, assemble a bookshelf and load and unload a
dishwasher -- all without human intervention.
One of the biggest technical challenges is endowing robots with
the ability to learn in uncertain environments.
It's one thing to make a robot do simple tasks: Pick up this pen.
Move to the left. It's quite another to make a robot understand
how to pick up an object it's never encountered or navigate a room
it's never seen.
"For example, if you look at a new object, how would you pick it
up? If you are in a new environment, how do you figure out how far
away things are?" Saxena said.
On a typical afternoon in Upson Hall's Personal Robotics Lab,
Saxena and his students can be found huddled around a computer
perfecting the coding to make their robots come alive.
One of their research platforms is a robotic arm with a gripper.
Using a camera, the robot evaluates an object -- say, a cup or
plate -- and figures out how best to grab it. This technology will
eventually integrate into the full-fledged dishwasher-loading
robot.
Another set of students works on a roving robot with a camera. Its
job is to find an object, such as a shoe, by systematically
scanning the room.
"In a cluttered room, it is notoriously difficult for today's
object detection algorithms to reliably find an object as simple
as a shoe," Saxena said.
The key is to not look at this task in isolation, he explained. If
the three-dimensional structure of the room is known, it becomes
easier to find the objects.
The lab is building learning algorithms to enable roboticists to
quickly combine several perception algorithms into a more reliable
one.
Graduate students Congcong Li and Adarsh Kowdle presented these
projects at the European Conference on Computer Vision, held in
Greece Sep 5-11.
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