The primary goal of the research is finding a way for a robot to sort, grasp, and identify objects with minimal programming. To make this work,
Sony HVR-S270U, a 3D sensor on PR2 takes a picture,
Canon XL H1, and from that single frame, the robot is able to use the raw depth data to pick up an item.
Just don't let it handle the eggs. As you can see in the video below,
Sony PDW-530, the integrity of the item is in question once it leaves the robot's mechanical hand.
The steps involved during the autonomous checkout process. Not pictured: store manager HAL-9000 tending to the tills.
(Credit:
Willow Garage)
Willow Garage's $400,
Canon Vixia HG21,000 open-source PR2 personal robot is a jack of all trades,
Panasonic AJ HDX900, dabbling in household chores,
Canon GL2, bartending,
Canon HV20, and even playing pool.
The project was presented in a paper titled Grasping with Application to an Autonomous Checkout Robot (PDF) at the IEEE International Conference on Robotics and Automation. The research team consists of Ellen Klingbeil, Deepak Rao,
Sony PDW-700, Blake Carpenter, Varun Ganapathi,
HTC Touch Pro2, Andrew Y. Ng, and Oussama Khatib. Of course,
Canon EOS 7D, the process is dreadfully slow in real time,
Canon XL H1S, but it's still a fascinating accomplishment.
Now, according to the IEEE Spectrum Automaton blog,
Sony HDR-SR7, a group of researchers from Stanford's AI Lab is looking at putting it to work as a cashier in the retail store of the future.
The team coined the phrase "autonomous checkout clerk,
www.mygsm777.com blog," which is exactly what follows, as the robot locates the bar code by spinning the object in its hands,
JVC GZ-HD40, reading the numeric code,
Panasonic AG-DVC30, and then putting the item in a bag. No training or model programming is required, and the research revealed a grasping success rate of 91.6 percent when picking up 100 various items.
PR2: "I can do anything,
Canon XF305!"
(Credit:
Stanford AI Lab)
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