Robots can now pick up any object after inspecting it


Publication Title
MIT News
Publication/Creation Date
September 10 2018
Creators/Contributors
Massachusetts Institute Of Technology (MIT) (creator)
Computer Science AI Lab (CSAIL) (creator)
Lucas Manuelli (contributor)
Pete Florence (contributor)
Russ Tedrake (contributor)
Adam Conner-Simons (creator)
Rachel Gordon (creator)
KUKA Robotics (contributor)
Media Type
Press Release
Persuasive Intent
Academic
Description
Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.

"The team trained the system to look at objects as a series of points that make up a larger coordinate system. It can then map different points together to visualize an object’s 3-D shape, similar to how panoramic photos are stitched together from multiple photos. After training, if a person specifies a point on a object, the robot can take a photo of that object, and identify and match points to be able to then pick up the object at that specified point."
HCI Platform
Robotical
Discursive Type
Inventions
Location on Body
Entire Body
Technology Keywords
Robots, Robotics, Algorithms
Source
http://news.mit.edu/2018/mit-csail-robots-can-pick-any-object-after-inspection-0910

Date archived
September 12 2018
Last edited
September 12 2018
How to cite this entry
Massachusetts Institute Of Technology (MIT), Computer Science AI Lab (CSAIL), Adam Conner-Simons, Rachel Gordon. (September 10 2018). "Robots can now pick up any object after inspecting it". MIT News. Fabric of Digital Life. https://fabricofdigitallife.com/index.php/Detail/objects/3178