Preface: Quantification of Uncertainty in Dynamic Situations for Mobile Robot Learning.

Journal of Uncertain SystemsVol. 16, No. 01, 2202002 (2023) No AccessPreface: Quantification of Uncertainty in Dynamic Situations for Mobile Robot LearningV. Vinoth Kumar, Lipo Wang, and Polinpapilinho F. KatinaV. Vinoth KumarJain University, NH-209, Jakkasandra Post, Kanakapura Rd, Bengaluru, Karnataka 560069, India, Lipo WangNanyang Technological University, 50 Nanyang Ave, Singapore 639798, Singapore, and Polinpapilinho F. KatinaUniversity of South Carolina Upstate, 800 University Way, Spartanburg, SC 29303, USAhttps://doi.org/10.1142/S1752890922020020Cited by:0 Next This article is part of the issue: Special Issue on Quantification of Uncertainty in Dynamic Situations for Mobile Robot LearningGuest Editors: V. Vinoth Kumar, L. Wang and P. F. Katina AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail References 1. P. F. Katina, C. B. Keating, A. V. Gheorghe and M. Masera, Complex system governance for critical cyber-physical systems, Int. J. Crit. Infrastruct. 13(2/3) (2017) 168–183, https://doi.org/10.1504/IJCIS.2017.088230. Crossref, Google Scholar2. C. B. Keating, P. F. Katina, C. W. Chesterman and J. C. Pyne, Future challenges for complex system governance research and practice, in Topics in Safety, Risk, Reliability and Quality, eds. C. B. KeatingP. F. KatinaC. W. Chesterman Jr.J. C. Pyne (eds.) Vol. 40 (Springer, Cham, 2022), https://doi.org/10.1007/978-3-030-93852-9_17. Google Scholar3. S. Munirathinam, Chapter Six - Industry 4.0: Industrial Internet of Things (IIOT), in Advances in Computers, eds. P. RajP. Evangeline, Vol. 117 (Elsevier, 2020), pp. 129–164, https://doi.org/10.1016/bs.adcom.2019.10.010. Google Scholar FiguresReferencesRelatedDetails Recommended Vol. 16, No. 01 Metrics History Published: 10 April 2023 PDF download