Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Yara Khaluf"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Shepherding, the task of guiding a herd of autonomous individuals in a desired direction, is an essential skill employed in the herding of animals, crowd control, and evacuation operations. Integrating shepherding capabilities into robots ho
Externí odkaz:
https://doaj.org/article/447c66a344ec46ef95335692032954df
Publikováno v:
Royal Society Open Science, Vol 10, Iss 5 (2023)
Shepherding, the task of guiding a herd of autonomous individuals in a desired direction, is an essential skill to herd animals, enable crowd control and rescue from danger. Equipping robots with the capability of shepherding would allow performing s
Externí odkaz:
https://doaj.org/article/52d3cbb083a34bd4810df2987108cbab
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Group interactions are widely observed in nature to optimize a set of critical collective behaviors, most notably sensing and decision making in uncertain environments. Nevertheless, these interactions are commonly modeled using local (proximity) net
Externí odkaz:
https://doaj.org/article/97529c413b1b4512966244902238cca5
Autor:
Yara Khaluf
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 2975 (2022)
Robot swarms have been used extensively to examine best-of-N decisions; however, most studies presume that robots can reliably estimate the quality values of the various options. In an attempt to bridge the gap to reality, in this study, we assume ro
Externí odkaz:
https://doaj.org/article/fcd53f3216ff4e369fb69c6ececf4650
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Autonomous decision-making is a fundamental requirement for the intelligent behavior of individual agents and systems. For artificial systems, one of the key design prerequisites is providing the system with the ability to make proper decisions. Curr
Externí odkaz:
https://doaj.org/article/df9c9ce9c1c8453e88ce0ae225ba0384
Publikováno v:
Applied Sciences, Vol 9, Iss 13, p 2667 (2019)
In many complex systems observed in nature, properties such as scalability, adaptivity, or rapid information exchange are often accompanied by the presence of features that are scale-free, i.e., that have no characteristic scale. Following this obser
Externí odkaz:
https://doaj.org/article/4d97babef4ac4ed98b7633e804b116f3
Publikováno v:
Swarm Intelligence. 15:427-457
In collective foraging, interactions between conspecifics can be exploited to increase foraging efficiencies. Many collective systems exhibit short interaction ranges, making information about patches rich in resources only locally available. In envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04bc7f4ff47438d70199c7a545140d97
https://doi.org/10.1007/s11721-021-00205-6
https://doi.org/10.1007/s11721-021-00205-6
Publikováno v:
Journal of the Royal Society, Interface, 19(191)
J R Soc Interface
Journal of the Royal Society, Interface 19 (2022) 191
J R Soc Interface
Journal of the Royal Society, Interface 19 (2022) 191
Increased fragmentation caused by habitat loss presents a major threat to the persistence of animal populations. Whereas the negative effects of habitat loss on biodiversity are well-known, the effects of fragmentation per se on population dynamics a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05ae2023b1e2a122b07d971a1c54841f
https://research.wur.nl/en/publications/foraging-behaviour-and-patch-size-distribution-jointly-determine-
https://research.wur.nl/en/publications/foraging-behaviour-and-patch-size-distribution-jointly-determine-
Publikováno v:
Physica A: Statistical Mechanics and its Applications 590 (2022)
Physica A: Statistical Mechanics and its Applications, 590
Physica A: Statistical Mechanics and its Applications, 590
Foragers within a group might increase individual foraging efficiencies by using public information to assess local resource availability. This information is often expressed as a change in behavior at resource encounters, which can be detected by ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153b9dd6f8682a18d22160cc523f14e3
https://research.wur.nl/en/publications/group-size-and-resource-fractality-drive-multimodal-search-strate
https://research.wur.nl/en/publications/group-size-and-resource-fractality-drive-multimodal-search-strate
Publikováno v:
2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). IEEE
IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). IEEE
Although time can be measured objectively, human time perception is remarkably subjective and influenced by cognitive states, individual motivations, and social factors. This malleability of perceived time can be evidenced, for instance, in stressful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7378db550f1c86faeb09ca22fb60e89
https://doi.org/10.1109/aivr52153.2021.00049
https://doi.org/10.1109/aivr52153.2021.00049