#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. Ken Goldberg is a Professor of #Industrial #Engineering and Operations Research (IEOR) at the University of California, Berkeley as introduced by Matei Ciocarlie. 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
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