Author:
Beycimen Semih,Ignatyev Dmitry,Zolotas Argyrios
Subject
Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials
Reference171 articles.
1. A state-of-the-art survey on deep learning theory and architectures;Alom;Electronics (Switzerland),2019
2. Amini, A., Rosman, G., Karaman, S., Rus, D., 2019. Variational end-to-end navigation and localization. Proceedings – IEEE International Conference on Robotics and Automation 2019-May, 8958–8964. DOI: 10.1109/ICRA.2019.8793579, arXiv:1811.10119.
3. Learning to predict slip for ground robots;Angelova;Proceedings – IEEE International Conference on Robotics and Automation,2006
4. Learning and prediction of slip from visual information;Angelova;J. Field Robot.,2007
5. Angelova, A., Matthies, L., Helmick, D., Perona, P., 2007b. Slip prediction using visual information. Robot.: Sci. Syst. 2, 105–112. 10.15607/rss.2006.ii.014.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献