[Ai] [CoRIS-List] Seminar *next week* Friday 11/6

Ross Hatton Ross.Hatton at oregonstate.edu
Wed Oct 28 18:31:42 PDT 2020


Hi All,

The seminar for *next week*, 11/6 at 10 am Pacific, will be presented by a team from Google:

Talk title: State of Robotics @ Google
Speaker: Julian Ibarz
Student panel attendees: Julian Ibarz, Carolina Parada, Laura Graesser, Oscar Ramirez, Jeff Walz, Vincent Vanhoucke

There will be a panel for students after the talk (running from 11-11:30 am). Speaker biographies are attached at the end of this email.

===========
Ross L. Hatton
Associate Professor, Robotics and Mechanical Engineering
Collaborative Robotics and Intelligent Systems Institute (CoRIS)
Oregon State University
coris.oregonstate.edu
research.engr.oregonstate.edu/lram/
rosslhatton.com
ross.hatton at oregonstate.edu


Julian Ibarz is a Senior Staff Software Engineer at Google AI. He leads a group that leverages deep reinforcement learning techniques to teach robots to manipulate objects. Prior to that, he worked 5 years on introducing deep learning techniques to the Google Maps team, which automated significant aspects of our mapping and maintenance efforts.



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Carolina Parada is a Senior Engineering Manager at Google AI. She leads the robot-mobility group, which focuses on improving robot motion planning, navigation, and locomotion, using reinforcement learning. Prior to that, she led the camera perception team for self-driving cars at Nvidia for 2 years. She was also a lead with Speech @ Google for 7 years, where she drove multiple research and engineering efforts that enabled Ok Google, the Google Assistant, and Voice-Search. Carolina grew up in Venezuela and moved to the US to pursue a B.S. and M.S. degree in Electrical Engineering at University of Washington and her Phd at Johns Hopkins University in Machine Learning.


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Laura Graesser is a Software Engineer in Google's Brain Robotics team where she works on a mixture of research and engineering. Her research interests include reinforcement learning, curriculum and environment design, and evolutionary algorithms. Before joining Google, Laura was an intern on Nvidia's Autonomous Driving team. Laura has a B.A. in Politics, Philosophy, and Economics, and an M.S. in Computer Science. She has also written a textbook on deep reinforcement learning.


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Hi, I'm Oscar Ramirez. I grew up in
 Monterrey, Mexico. During my highschool years I moved to Canada where I studied Computer Science at the University of Alberta. At Google, I'm part of Google's Brain Robotics team where I work on infrastructure and research, mostly focused on Reinforcement Learning. For the past 3 years my focus has been on TF-Agents, an open source library for RL.


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Jeff Walz created and launched Google’s University Relations program in 2005.  He is currently the Google University Relations Lead for several universities. Prior to Google, Jeff was Senior Director of Corporate Relations at Carnegie Mellon University responsible for development, managing and sustaining a holistic relationship management process with key corporate partners. Before CMU, Jeff was at Intel Corporation where he held a number of positions most recently as Technical Assistant to the Vice President and Director of Research. Prior to his position at Intel Research, Jeff was a manager in Intel’s Academic Relations Group where he co-directed Intel’s Technology for Education Program which supported highly interdisciplinary educational and research projects at leading research universities in the US. Before joining Intel, Jeff worked for the US Navy as a systems software engineer on the Navstar Global Positioning system. Walz holds a bachelor’s of science degree in electrical engineering from Norwich University and a masters of science degree in technology management from Oregon Health and Science University. He is a member of the ACM and the IEEE.

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Vincent Vanhoucke is a principal scientist and director of Robotics at Google. He is a co-founder of the Conference on Robot Learning, now in its fourth year. His research has spanned many areas of artificial intelligence and machine learning, from speech recognition to deep learning, computer vision, and robotics. His lecture series on Udacity has introduced more than 100,000 students to deep learning. He holds a doctorate from Stanford University and a diplôme d'ingénieur from the École Centrale Paris.


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