Cloud Robotics | Ken Goldberg | Talks at Google
62Ken Goldberg is the craigslist Distinguished Professor of New Media and Professor of Industrial Engineering and Operations Research (IEOR) at the University of California, Berkeley. He also holds an appointment in the Department of Radiation Oncology at the University of California, San Francisco. He is an artist, writer, inventor, and researcher in the field of robotics and automation.
Cloud Robotics has potential to improve robot performance in at least five 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, job planning, and outcomes, and 5) Crowdsourcing and call centers: offline and on-demand human guidance for evaluation, learning, and error recovery.