Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Agmon, Noa"'
Autor:
Moshe, Lior, Agmon, Noa
Reaching a consensus in a swarm of robots is one of the fundamental problems in swarm robotics, examining the possibility of reaching an agreement within the swarm members. The recently-introduced contamination problem offers a new perspective of the
Externí odkaz:
http://arxiv.org/abs/2209.08587
This paper considers the complex problem of a team of UAVs searching targets under uncertainty. The goal of the UAV team is to find all of the moving targets as quickly as possible before they arrive at their selected goal. The uncertainty considered
Externí odkaz:
http://arxiv.org/abs/2203.09476
Publikováno v:
International Symposium on Distributed Autonomous Robotic Systems 2021, pp. 320-334
We study the collective motion of autonomous mobile agents on a ringlike environment. The agents' dynamics is inspired by known laboratory experiments on the dynamics of locust swarms. In these experiments, locusts placed at arbitrary locations and i
Externí odkaz:
http://arxiv.org/abs/2012.04980
Autor:
Cohen, Saar, Agmon, Noa
This work concentrates on different aspects of the \textit{consensus problem}, when applying it to a swarm of flocking agents. We examine the possible influence an external agent, referred to as {\em influencing agent} has on the flock. We prove that
Externí odkaz:
http://arxiv.org/abs/2010.04686
Black-Box Optimization (BBO) methods can find optimal policies for systems that interact with complex environments with no analytical representation. As such, they are of interest in many Artificial Intelligence (AI) domains. Yet classical BBO method
Externí odkaz:
http://arxiv.org/abs/2006.08711
Publikováno v:
In iScience 23 April 2021 24(4)
Akademický článek
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Publikováno v:
Journal Of Artificial Intelligence Research, Volume 42, pages 887-916, 2011
The problem of adversarial multi-robot patrol has gained interest in recent years, mainly due to its immediate relevance to various security applications. In this problem, robots are required to repeatedly visit a target area in a way that maximizes
Externí odkaz:
http://arxiv.org/abs/1401.3903
Publikováno v:
In Artificial Intelligence September 2019 274:1-25
Autor:
Amir, Michael1 (AUTHOR) ammicha3@technion.ac.il, Agmon, Noa2 (AUTHOR) agmon@cs.biu.ac.il, Bruckstein, Alfred M.1 (AUTHOR)
Publikováno v:
Entropy. Jul2022, Vol. 24 Issue 7, pN.PAG-N.PAG. 23p.