Researchers at Siemens Corporate Technology in Berkeley, CA, have developed a set of gears to test different robot learning approaches to assembly. If you want to benchmark your robot learning algorithms and apply them to a challenging problem, 3D print the gears and share your results with us!
This post describes my outline/structure for a technical paper. I have found a fairly specific structure works best for abstracts and introductions. For the
W. Hamilton, R. Ying, и J. Leskovec. (2017)cite arxiv:1709.05584Comment: Published in the IEEE Data Engineering Bulletin, September 2017; version with minor corrections.
U. Martin Skrodzki, и K. Polthier. Proceedings of Bridges 2016: Mathematics, Music, Art, Architecture, Education, Culture, стр. 481--484. Phoenix, Arizona, Tessellations Publishing, (2016)Available online at http://archive.bridgesmathart.org/2016/bridges2016-481.html.
W. Hung, Y. Tsai, Y. Liou, Y. Lin, и M. Yang. (2018)cite arxiv:1802.07934Comment: Accepted in BMVC 2018. Code and models available at https://github.com/hfslyc/AdvSemiSeg.
C. Weng, B. Curless, и I. Kemelmacher-Shlizerman. (2018)cite arxiv:1812.02246Comment: The project page is at https://grail.cs.washington.edu/projects/wakeup/, and the supplementary video is at https://youtu.be/G63goXc5MyU.
R. Sharipov. (2002)cite arxiv:cs/0201007Comment: AmSTeX, 7 pages, amsppt style, English wording is improved, references are transformed to hyperlinks, the fugure is incorporated into the PS and PDF files.
M. Müller, J. Bender, N. Chentanez, и M. Macklin. Proceedings of the 9th International Conference on Motion in Games, стр. 55--60. New York, NY, USA, ACM, (2016)
A. Chéritat. (2014)cite arxiv:1410.4417Comment: 16 pages, 7 figures. This version has the following changes: Added computer generated images of the key positions S1 and S2. Corrected several minor mistakes. Corrected the proof of the main proposition (I had forgotten to ensure that the top and bottom curves remain embedded during the homotopy) and slightly changed the statement of Lemma 3 to adapt.
A. Alemi, и I. Fischer. (2018)cite arxiv:1807.04162Comment: Presented at the ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models.