Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Arash Sadeghi Amjadi"'
Autor:
Tomáš Rouček, Arash Sadeghi Amjadi, Zdeněk Rozsypálek, George Broughton, Jan Blaha, Keerthy Kusumam, Tomáš Krajník
Publikováno v:
Sensors, Vol 22, Iss 8, p 2836 (2022)
The performance of deep neural networks and the low costs of computational hardware has made computer vision a popular choice in many robotic systems. An attractive feature of deep-learned methods is their ability to cope with appearance changes caus
Externí odkaz:
https://doaj.org/article/da47cad95d824de3b7f31c79745dccce
Publikováno v:
Adaptive Behavior. 30:223-236
Aggregation, a widely observed behavior in social insects, is the gathering of individuals on any location or on a cue. The former being called the self-organized aggregation, and the latter being called the cue-based aggregation. One of the fascinat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd3a7d41b05c071856abbc7fbf561740
https://doi.org/10.1177/1059712320985543
https://doi.org/10.1177/1059712320985543
Autor:
Tomas Krajnik, Arash Sadeghi Amjadi, Farshad Arvin, George Broughton, Ali Emre Turgut, Mohsen Raoufi
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030675394
Using robots for exploration of extreme and hazardous environments has the potential to significantly improve human safety. For example, robotic solutions can be deployed to find the source of a chemical leakage and clean the contaminated area. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe6b31c02d42528687e6330b02f9186
https://doi.org/10.1007/978-3-030-67540-0_30
https://doi.org/10.1007/978-3-030-67540-0_30
Autor:
Jan Blaha, Tomáš Rouček, Keerthy Kusumam, Tomáš Krajník, Zdeněk Rozsypálek, Arash Sadeghi Amjadi, George Broughton
Publikováno v:
Sensors; Volume 22; Issue 8; Pages: 2836
The performance of deep neural networks and the low costs of computational hardware has made computer vision a popular choice in many robotic systems. An attractive feature of deep-learned methods is their ability to cope with appearance changes caus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbde210373abe51c91526acc4e36ae9c
https://doi.org/10.3390/s22082836
https://doi.org/10.3390/s22082836
Autor:
Rouček, Tomáš1 (AUTHOR) amjadara@fel.cvut.cz, Amjadi, Arash Sadeghi1 (AUTHOR) rozsyzde@fel.cvut.cz, Rozsypálek, Zdeněk1 (AUTHOR) george.broughton@fel.cvut.cz, Broughton, George1 (AUTHOR) jan.blaha@fel.cvut.cz, Blaha, Jan1 (AUTHOR) krajnt1@fel.cvut.cz, Kusumam, Keerthy2 (AUTHOR) keerthy.kusumam2@nottingham.ac.uk, Krajník, Tomáš1 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2022, Vol. 22 Issue 8, pN.PAG-N.PAG. 17p.
Publikováno v:
Adaptive Behavior; Jun2022, Vol. 30 Issue 3, p223-236, 14p
This two-volume set constitutes the refereed proceedings of the 16th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2020, held in Shanghai, China, in October 2020.The 61 full papers and