activity
20142026
most citedToo Global To Be Local: Swarm Consensus in Adversarial Settings

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.MA2026

Intermittent Strategic Cooperation of Two Selfish Agents on Graphs

Itay Shedlezki, Noa Agmon

We study strategic space- and time-constrained cooperation between two self-interested agents through the Intermittent Strategic Cooperation-Based Two-Agent Path Planning (IC2PP) p…

cs.MA2022★ 1 cited

Too Global To Be Local: Swarm Consensus in Adversarial Settings

Lior Moshe, Noa Agmon

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 rec…

cs.RO2022

Uncertainty with UAV Search of Multiple Goal-oriented Targets

Mor Sinay, Noa Agmon, Oleg Maksimov +2

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…

cs.MA2020

A Discrete Model of Collective Marching on Rings

Michael Amir, Noa Agmon, Alfred M. Bruckstein

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 swa…

cs.MA2020

Converging to a Desired Orientation in a Flock of Agents

Saar Cohen, Noa Agmon

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,…

cs.LG2020

Explicit Gradient Learning

Mor Sinay, Elad Sarafian, Yoram Louzoun +2

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…

cs.MA2014

Multi-Robot Adversarial Patrolling: Facing a Full-Knowledge Opponent

Noa Agmon, Gal A. Kaminka, Sarit Kraus

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 a…