Cornell University Assistant Professor of Computer Science Ashutosh Saxena and his colleagues are working at 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 dishevelled room, assemble an Ikea bookshelf and load and unload a dishwasher - all without human intervention.
"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.
“Picking up a pen is one thing. 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.”
Saxena has researched how to make robots perceive information in cluttered and unknown environments. His work also has enabled robots to estimate depth from a single image.
Using a camera, one 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.

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