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Lectures

CDL - Pervasive Robots

About the series

Abstract: 

The digitization of practically everything coupled with the mobile Internet, the automation of knowledge work, and advanced robotics promises a future with democratized use of machines and wide-spread use of robots and customization. However, pervasive use of robots remains a hard problem. Where are the gaps that we need to address in order to advance toward a future where robots are common in the world and they help reliably with physical tasks? What is the role of computation along this trajectory?

In this talk I will discuss challenges toward pervasive use of robots and recent developments in algorithms for customizing robots. I will focus on a suite of algorithms for automatically designing, fabricating, and tasking robots using a print-and-fold approach. I will also describe how computation can play a role in creating robots more capable of reasoning in the world.  By enabling on-demand creation of functional robots from high-level specifications, we can begin to imagine a world with one robot for every physical task.

Bio:

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.  Rus's research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering. She earned her PhD in Computer Science from Cornell University. Prior to joining MIT, Rus was a professor in the Computer Science Department at Dartmouth College.

To Join the Webinar: 

https://nsf.webex.com/nsf/j.php?RGID=r2568d9d4fd19ec8674a0e180721dcca9

Please register at: 

by 11:59pm EST on Tuesday, April 19, 2016.

After your registration is accepted, you will receive an email with a URL to join the meeting. Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, your acceptance message will have a toll-free phone number that you will be prompted to call after joining. If you are international, please email kgeary@nsf.gov to obtain the appropriate dial in number.  Please note that this registration is a manual process; therefore, do not expect an immediate acceptance. In the event the number of requests exceeds the capacity, some requests may have to be denied.

 

PLEASE NOTE:  The presentation, audio and transcript are not available for this talk.  Thank you.

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