Computer Vision for Robotics 2020 Workshop
Chair of the Workshop: Dr. Hao Gao, Nanjing University of Posts and Telecommunications, China
Localization in 3D space is an important and active area of research in field robotics, as vehicles capable of autonomous exploration have the potential to significantly impact a wide range of applications such as search and rescue operations, environmental monitoring, and planetary exploration. With the rapid development of computer vision (CV), CV based Robotics research has attracted more attentions in recently years.
This workshop is devoted to publishing high-quality papers on technical developments and practical applications around Computer vision for Robotics. It will serve as a forum for recent advances in the fields of, but not limited to, 3D reconstruction, pattern recognition, human-machine interaction, and machine learning for robotics, such as deep learning and reinforcement learning in robotics control, path planning for robotics, and 3D navigation for robotics. This workshop seeks original contributions which address the challenges from navigation for robotics based on computer vision or artificial intelligence. Please note that paper length is 6-10 pages, and the review process will be double-blind.
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All accepted and presented papers will be submitted for publishing by Springer along with the conference proceedings and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
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Full Paper Submission deadline
30 March 2020
4 May 2020
1 June 2020
11 August 2020