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Monday, April 2, 2018

Robot news: Learning Robot Objectives from Physical Human Interaction, with Andrea Bajcsy and Dylan P. Losey

ElcoHow. - This is one inforation for you who want to update information in robot technology in this time with the article titled Learning Robot Objectives from Physical Human Interaction, with Andrea Bajcsy and Dylan P. Losey.

Image Courtesy of http://robohub.org

In this interview, Audrow speaks with Andrea Bajcsy and Dylan P. Losey about a method that allows robots to infer a human’s objective through physical interaction. They discuss their approach, the challenges of learning complex tasks, and their experience collaborating between different universities.

Some examples of people working with the more typical impedance control (left) and Bajcsy and Losey’s learning method (right).

To learn more, see this post on Robohub from the Berkeley Artificial Intelligence Research (BAIR) Lab.

And now you can read more about this Learning Robot Objectives from Physical Human Interaction, with Andrea Bajcsy and Dylan P. Losey from original source using link HERE.


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