Daniela L. Rus

Daniela Rus from MIT wants to make everyday robots accessible to everyone. She shares her vision of printable robots that can play with your cat or match you at chess, and says future innovations in digital fabrication will transform manufacturing.

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One Robot for Every Task - Daniela Rus, MIT
Plenary - May 27th, 2015

Abstract: The digitization of practically everything coupled with advanced robotics promises a future with democratized use of machines and wide-spread customization. However, pervasive use of robots remains a hard problem. What are the gaps that can take us to a future where robots are common, they figure things out, they operate aware of each other, and they contribute to making the world a better place?
In this talk I will discuss challenges toward pervasive use of robots and recent developments in customizing robots. What if we could automatically design, fabricate, and program robots from an intuitive description of the task so that anyone could use a robot? What if robots could be better at figuring things out? What if robots could be more adept at interacting with each other and with people? I will describe recent results in automating and customizing the fabrication of robots and enhancing their reasoning and communication capabilities. By enabling on-demand creation of programmable robots, we can begin to imagine a world with one robot for every task.
Biography: 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 big data. The key focus of her research is to develop the science of networked/distributed/collaborative robotics, by asking: how can many machines collaborate to achieve a common goal? Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the NAE. 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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Roboticist and head of MIT’s Computer Science and Artificial Laboratory explains how to get people and robots ready to work in a world full of smart machines.

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The convergence of AI and robotics will unlock a wonderful new world of possibilities in everyday life, says robotics and AI pioneer Daniela Rus. Diving into the way machines think, she reveals how "liquid networks" — a revolutionary class of AI that mimics the neural processes of simple organisms — could help intelligent machines process information more efficiently and give rise to "physical intelligence" that will enable AI to operate beyond digital confines and engage dynamically in the real world.

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Fulfilling a school requirement by working in a Romanian locomotive factory one week each month, Daniela Rus learned to operate “machines that help us make things.” Appreciation for the practical side of math and science stuck with Daniela, who is now Director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), and the Andrew and Erna Viterbi Professor in the Department of Electrical Engineering and Computer Science.

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