A quicker eye for robotics to help in our cluttered, human environments

Publication/Creation Date
May 23 2019
Karthik Desingh (creator)
Chad Jenkins (contributor)
Shiyang Lu (contributor)
Anthony Opipari (contributor)
Persuasive Intent
In preparation for introducing robots to more clustered and chaotic environments, researchers at the University of Michigan developed the Pull Message Passing for Nonparametric Belief Propagation algorithm to hasten machine perception time. Using a Fetch robot, the team demonstrated that the algorithm could reduce the time to accurately determine an object's pose down to 10 minutes, an action that previously took over an hour and a half. This new algorithm uses data from sensors to "pull" the robot to the correct answer, whereas previous algorithms "pushed" data to the robot over several iterations.
HCI Platform
Discursive Type
Location on Body
Entire Body
Marketing Keywords
Fetch Robotics

Date archived
June 17 2019
Last edited
June 24 2019
How to cite this entry
Karthik Desingh. (May 23 2019). "A quicker eye for robotics to help in our cluttered, human environments". University of Michigan News. University Of Michigan. Fabric of Digital Life. https://fabricofdigitallife.com/index.php/Detail/objects/3930