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Professor Designs Algorithms to Make Robots Better Collaborators


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The researchers have begun designing a so-called adaptive control box that would modulate the signal sent from a controller to the robot.

Rifat Sipahi, a Northeastern University associate professor of mechanical and industrial engineering, designs algorithms that enable groups of robots to make good decisions despite inherent communication delays in information sharing.

Credit: Matthew Modoono/Northeastern University

Researchers at Northeastern University are developing algorithms that enable groups of robots to make good decisions despite inherent communication delays in information sharing.

The delays can be detrimental to robotic group behavior, especially if the robots have access to and can act only on "outdated" information. However, the researchers are working to overcome that hurdle via a protocol that can tell robots in which direction to move to perform a collaborative task using only outdated information.

The team has developed an algorithm that can improve and accelerate cooperation among three robots with information-sharing delays, and they also are using control theory and human factors engineering to design algorithms that would enable self-driving cars to collaborate with human drivers and each other.

In addition, Northeastern professor Rifat Sipahi is working with colleagues at the University of South Florida and Bilkent University in Turkey on an algorithm that would make it easier for a human in one location to control a robot in another location.

From Northeastern University News
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Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA


 

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