Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Payam Zahadat"'
Autor:
Thomas Schmickl, Martina Szopek, Francesco Mondada, Rob Mills, Martin Stefanec, Daniel N. Hofstadler, Dajana Lazic, Rafael Barmak, Frank Bonnet, Payam Zahadat
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
We develop here a novel hypothesis that may generate a general research framework of how autonomous robots may act as a future contingency to counteract the ongoing ecological mass extinction process. We showcase several research projects that have u
Externí odkaz:
https://doaj.org/article/3649315af1a94a2ca35e8093e476e02b
Publikováno v:
EAI Endorsed Transactions on Serious Games, Vol 3, Iss 9, Pp 1-8 (2016)
In this paper a honeybee inspired collective-decision-making algorithm called BEECLUST is studied in a swarm of autonomous robots and the performance of the swarm is investigated in different conditions. The algorithm has low requirements thus it is
Externí odkaz:
https://doaj.org/article/ef3d4f58265a4134bd633548bc420a9a
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 1994 (2021)
In evolutionary robotics, an encoding of the control software that maps sensor data (input) to motor control values (output) is shaped by stochastic optimization methods to complete a predefined task. This approach is assumed to be beneficial compare
Externí odkaz:
https://doaj.org/article/03d4de83993246cfa7d27ac06536460e
Autor:
Mostafa Wahby, Mary Katherine Heinrich, Daniel Nicolas Hofstadler, Ewald Neufeld, Igor Kuksin, Payam Zahadat, Thomas Schmickl, Phil Ayres, Heiko Hamann
Publikováno v:
Royal Society Open Science, Vol 5, Iss 10 (2018)
Plant growth is a self-organized process incorporating distributed sensing, internal communication and morphology dynamics. We develop a distributed mechatronic system that autonomously interacts with natural climbing plants, steering their behaviour
Externí odkaz:
https://doaj.org/article/67b7ed2b851940b4bca7cb243113459d
Autor:
Payam Zahadat, Ada Diaconescu
Publikováno v:
2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::136bce7836639cbcbaa0b82e34d7f16c
https://doi.org/10.1109/acsosc56246.2022.00023
https://doi.org/10.1109/acsosc56246.2022.00023
Autor:
Payam Zahadat
Publikováno v:
Zahadat, P 2021, Incentive for self-protection in a collective system: a swarm robotics case study . in ALIFE 2021: The 2021 Conference on Artificial Life . MIT Press . https://doi.org/10.1162/isal_a_00427
Designing controllers for agents of a collective system is challenging. The challenge lies in the nonlinearity between the behavior of the individuals and the emerging patterns in the collective. A branch of ongoing research in collective systems, e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87070f2ebc8425b340853b0190ac0efe
https://pure.itu.dk/ws/files/86201466/ZahadatALIFE2021.pdf
https://pure.itu.dk/ws/files/86201466/ZahadatALIFE2021.pdf
Autor:
Dajana Lazic, Martina Szopek, Frank Bonnet, Payam Zahadat, Daniel Nicolas Hofstadler, Francesco Mondada, Thomas Schmickl, Martin Stefanec, Robert T. E. Mills, Rafael Barmak
Publikováno v:
Frontiers in Bioengineering and Biotechnology
Schmickl, T, Szopek, M, Mondada, F, Mills, R, Stefanec, M, Hofstadler, D, Lazic, D, Barmak, R, Bonnet, F & Zahadat, P 2021, ' Social Integrating Robots Suggest Mitigation Strategies for Ecosystem Decay ', Frontiers in Bioengineering and Biotechnology . https://doi.org/10.3389/fbioe.2021.612605, https://doi.org/10.3389/fbioe.2021.612605
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
Schmickl, T, Szopek, M, Mondada, F, Mills, R, Stefanec, M, Hofstadler, D, Lazic, D, Barmak, R, Bonnet, F & Zahadat, P 2021, ' Social Integrating Robots Suggest Mitigation Strategies for Ecosystem Decay ', Frontiers in Bioengineering and Biotechnology . https://doi.org/10.3389/fbioe.2021.612605, https://doi.org/10.3389/fbioe.2021.612605
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
We develop here a novel hypothesis that may generate a general research framework of how autonomous robots may act as a future contingency to counteract the ongoing ecological mass extinction process. We showcase several research projects that have u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f32cc823d6a9bffb6ef0dec52d4d0be2
https://pubmed.ncbi.nlm.nih.gov/34109162
https://pubmed.ncbi.nlm.nih.gov/34109162
Autor:
Hannes Hornischer, Thomas Schmickl, Payam Zahadat, Franz Wotawa, Joshua Cherian Varughese, Ronald Thenius
Publikováno v:
Bioinspirationbiomimetics. 15(3)
Numerous nature inspired algorithms have been suggested to enable robotic swarms, mobile sensor networks and other multi-agent systems to exhibit various self-organized behaviors. Swarm intelligence and swarm robotics research have been underway for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e21322f31d38c0e42c981c17526113d1
https://pubmed.ncbi.nlm.nih.gov/31971516
https://pubmed.ncbi.nlm.nih.gov/31971516
Autor:
Ada Diaconescu, Payam Zahadat
Publikováno v:
Zahadat, P & Diaconscu, A 2020, Reactive or Stable: A Plant-inspired Approach for Organisation Morphogenesis . in Artificial Life Conference Proceedings : ALIFE 2020 . MIT Press, pp. 614-622 . https://doi.org/10.1162/isal_a_00244
Communication networks are prevalent in both natural and artificial systems, enabling information and resource exchanges amongst system parts. In most systems, the network topology influences system performance, which, in turn, reshapes the network t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45ecb66b8a102a9929314e61b1e44665
https://doi.org/10.1162/isal_a_00244
https://doi.org/10.1162/isal_a_00244
Publikováno v:
International Journal of Parallel, Emergent and Distributed Systems
In a swarm system, for example in a beehive, group decision is based on interactions and interferences of all individuals without a central unit that decides for everybody. When making experiments with young honeybees (Apis mellifera), a swarm algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a503fdf9a45f13d801f77ddd54a6a06
https://doi.org/10.1080/17445760.2017.1404600
https://doi.org/10.1080/17445760.2017.1404600