Description: This book is a valuable resource for anyone interested in the fields of automation, robotics, and probability/statistics. It offers a comprehensive guide to Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. The book is published by Springer and authored by Shuai Li, Juan Rojas, Zhihao Xu, Xuefeng Zhou, and Hongmin Wu. The hardcover book is written in English, with an ISBN-13 of 9789811562624 and has a length of 9.3in and a width of 6.1in. It was published in 2020 and has a total of XVII, 137 pages. This book falls under the categories of Technology & Engineering and Mathematics and is an excellent reference for anyone interested in this subject.
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Location: Wellington, Ohio
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ISBN-13: 9789811562624
Book Title: Nonparametric Bayesian Learning for Collaborative RoBoT Multimodal Introspection
Item Length: 9.3in.
Item Width: 6.1in.
Author: Shuai Li, Juan Rojas, Zhihao Xu, Xuefeng Zhou, Hongmin Wu
Format: Hardcover
Language: English
Topic: Automation, Robotics, Probability & Statistics / Bayesian Analysis
Publisher: Springer
Publication Year: 2020
Genre: Technology & Engineering, Mathematics
Item Weight: 16 Oz
Number of Pages: Xvii, 137 Pages
