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CDL - Pervasive Robots

CISE Distinguished Lecture - Daniela Rus - MIT - April 20th - 2pm - Room 1235

April 20, 2016 2:00 PM  to 
April 20, 2016 3:00 PM
NSF Room 1235

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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.


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.

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

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

This event is part of Webinars/Webcasts.

Meeting Type

Lynne E. Parker, (703) 292-8930, email:

NSF Related Organizations
Directorate for Computer and Information Science and Engineering