Ambidextrous Robot Could Speed Packaging at E-Commerce Fulfillment Centers
A new machine-learning algorithm developed by engineers at UC Berkeley can teach robots to grasp and carry items with similar dexterity.
The algorithm helps “ambidextrous” robots equipped with different types of grippers — for example, a suction gripper and a parallel-jaw gripper — decide which gripper to use for any given object.
A new algorithm helps robots decide which gripper works best for picking up different objects.
“Any single gripper cannot handle all objects,” said Jeff Mahler, a postdoctoral researcher at UC Berkeley and lead author of a new paper describing the advance, published this week in Science Robotics. “For example, a suction cup cannot create a seal on porous objects such as clothing, and parallel-jaw grippers may not be able to reach both sides of some tools and toys. ‘Ambidextrous’ robots offer greater diversity.”
The technology could be especially useful in fulfillment centers for e-commerce companies like Amazon, which rely on robots for packaging.
“When you are in a warehouse putting together packages for delivery, objects vary considerably,” said Ken Goldberg, a UC Berkeley professor with joint appointments in the Department of Electrical Engineering and Computer Sciences and the Department of Industrial Engineering and Operations Research. “We need a variety of grippers to handle a variety of objects.”
Contacts and sources:
University of California – Berkeley
Citation: Learning ambidextrous robot grasping policies.
Jeffrey Mahler, Matthew Matl, Vishal Satish, Michael Danielczuk, Bill DeRose, Stephen McKinley, Ken Goldberg. Science Robotics, Jan. 16, 2019; DOI: 10.1126/scirobotics.aau4984
Source: http://www.ineffableisland.com/2019/01/ambidextrous-robot-could-speed.html
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Whistler Blowers, Insiders
its been pick and pack.not pack for a.long while, robots cant cope with QC items in the wrong bin, the diferent packaging suppliers send out from china as they get the lowest bidder stuff, the robot then has to go badk to barcodes and they put 3 on the box one of which will be an unrelated QR wirh a serial one internal to the manufacturer.on labels often too shiny to scan. The robot then has to read through the label with ocr and guess what there are multiple serial numbers all over the place.😝