Cloud Robotics

March 27, 2015
10:30-11:30am
Davis Auditorium, CEPSR
Speaker: Ken Goldberg, Professor, University of California, Berkeley

Abstract

Abstract: Cloud Robotics is exemplified by Google's autonomous driving project that has the advantage of extensive datasets including maps, Streetview images, and traffic data and prior experimental data for localization and parameter tuning. Cloud Robotics has potential to improve robot performance in several ways: 1) Big Data: indexing a global library of images, maps, and object data, 2) Cloud Computing: parallel grid computing on demand for statistical analysis, learning, and motion planning, 3) Open-Source / Open-Access: humans sharing code, data, algorithms, and hardware designs, 4) Collective Robot Learning: robots sharing trajectories, control policies, and outcomes, and 5) Crowdsourcing and call centers: offline and on-demand human guidance for evaluation, learning, and error recovery. James Kuffner coined the term in 2010 and Steve Cousins summarized the concept: "No robot is an island." New research is needed to design the associated algorithms and system architectures. I'll present details with examples including our ongoing research in medical robotics and grasping. More details available here.

Speaker Bio

Ken Goldberg is an artist and UC Berkeley professor. He and his students investigate robotics, automation, art, and social media. Goldberg directs the Automation Sciences Research Lab, co-directs the Center for Automation and Learning for Medical Robotics, and is Faculty Director of the CITRIS Data and Democracy Initiative. Goldberg earned dual degrees in Electrical Engineering and Economics from the University of Pennsylvania (1984) and MS and PhD degrees from Carnegie Mellon University (1990). He joined the UC Berkeley faculty in 1995 where he is Professor of Industrial Engineering and Operations Research (IEOR), with secondary appointments in Electrical Engineering/Computer Science (EECS), Art Practice, the School of Information, and in the Department of Radiation Oncology at the UCSF Medical School. Goldberg has published over 200 peer-reviewed technical papers on algorithms for robotics, automation, and social information filtering; his inventions have been awarded eight US Patents. Goldberg was awarded the Presidential Faculty Fellowship in 1995 by President Clinton, the National Science Foundation Faculty Fellowship in 1994, the Joseph Engelberger Robotics Award in 2000, and elected IEEE Fellow in 2005.

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