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Follow on Google News | DOOMED Is New Online Learning Approach to Robotics ModelingIn the article entitled "DOOMED: Direct Online Optimization of Modeling Errors in Dynamics (http://online.liebertpub.com/ The article is part of a special issue of Big Dataon "Big Data in Robotics" led by Guest Editors Jeannette Bohg, PhD, Matei Ciocarlie, PhD, Jaview Civera, PhD, and Lydia Kavraki, PhD. "A major challenge in robotics is designing systems that behave in predictable ways based on some analytical model of the process," says Big Data Editor-in-Chief Vasant Dhar, Professor at the Stern School of Business and the Center for Data Science at New York University. "However, in reality, even if such analytical models exist, they are rarely accurate enough in situations that represent all combinations of heat, wear and tear, cable stretch, etc.; situations that a system encounters in reality. In such situations, it is useful to complement models with data collected as a result of real-world operation. Real-world robotic systems need to be robust enough to correct "errors" on the fly. Ratliff et al. combined model-based approaches with machine learning in a novel way to make systems error correcting robust in real time. We are seeing increasing interest in combining analytical model-based approaches with machine learning and big data to create more robust motion systems. This paper makes a very significant contribution in this respect." About the Journal Big Data (http://www.liebertpub.com/ About the Publisher Mary Ann Liebert, Inc., publishers (http://www.liebertpub.com/ for establishing authoritative medical and biomedical peer-reviewed journals, including OMICS: A Journal of Integrative Biology, Journal of Computational Biology, New Space, and 3D Printing and Additive Manufacturing. Its biotechnology trade magazine, GEN (Genetic Engineering & Biotechnology News), was the first in its field and is today the industry's most widely read publication worldwide. A complete list of the firm's more than 80 journals, newsmagazines, and books is available on the Mary Ann Liebert, Inc., publishers (http://www.liebertpub.com/) End
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