2P1-I05 Acquisition of Conflict Avoidance Behaviors in Multi-Agent Systems : An Approach by Replication of Policies(Swarm Robotics)

2013 ◽  
Vol 2013 (0) ◽  
pp. _2P1-I05_1-_2P1-I05_4
Author(s):  
Satomi WATANABE ◽  
Kazuaki YAMADA ◽  
Akihiro MATSUMOTO
Keyword(s):  
Swarm Robotics ◽  
Conflict Avoidance ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Avoidance Behaviors ◽  
Multi Agent

scholarly journals Velocity Obstacles and Emergent Rules-of-the-Air for Autonomous Drone Traffic Management

2021 ◽  
Author(s):  
William Bonnell ◽  
R. Eddie Wilson
Keyword(s):  
Traffic Management ◽  
Swarm Robotics ◽  
Mean Transit Time ◽  
Conflict Avoidance ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Avoidance Behaviors ◽  
Multi Agent ◽  
The Mean ◽  
The Impact

As the use of unmanned aerial vehicles (UAVs) becomes ever more widespread there is a growing need to develop traffic management and flight rules, in particular for autonomous UAVs or where the predicted traffic densities far exceed those of traditional manned aviation. Inspired by the current rules of the air and multi-agent systems (e.g., pedestrians and swarm robotics) we outline a set of flight rules for autonomous UAVs that consist of waypoint following and conflict avoidance schemes. These flight rules are then explored in small,pairwise simulations and thus refined to allow a UAV to choose from three potential avoidance behaviors based on it and its neighbors velocities and positions. Finally we compare the original and modified flight rules in larger scale simulations modelling two streams of UAV traffic crossing at a point. We show that the modified rules significantly reduce the mean transit time by reducing the impact of UAVs avoiding other UAVs from the same stream.

scholarly journals Velocity Obstacles and Emergent Rules-of-the-Air for Autonomous Drone Traffic Management

2021 ◽  
Author(s):  
William Bonnell ◽  
R. Eddie Wilson
Keyword(s):  
Traffic Management ◽  
Swarm Robotics ◽  
Mean Transit Time ◽  
Conflict Avoidance ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Avoidance Behaviors ◽  
Multi Agent ◽  
The Mean ◽  
The Impact

As the use of unmanned aerial vehicles (UAVs) becomes ever more widespread there is a growing need to develop traffic management and flight rules, in particular for autonomous UAVs or where the predicted traffic densities far exceed those of traditional manned aviation. Inspired by the current rules of the air and multi-agent systems (e.g., pedestrians and swarm robotics) we outline a set of flight rules for autonomous UAVs that consist of waypoint following and conflict avoidance schemes. These flight rules are then explored in small,pairwise simulations and thus refined to allow a UAV to choose from three potential avoidance behaviors based on it and its neighbors velocities and positions. Finally we compare the original and modified flight rules in larger scale simulations modelling two streams of UAV traffic crossing at a point. We show that the modified rules significantly reduce the mean transit time by reducing the impact of UAVs avoiding other UAVs from the same stream.

scholarly journals Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems

2018 ◽  
Author(s):  
Panagiotis Kouvaros ◽  
Alessio Lomuscio ◽  
Edoardo Pirovano
Keyword(s):  
Fault Tolerance ◽  
Epistemic Logic ◽  
Swarm Robotics ◽  
Experimental Results ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Agent Systems ◽  
Multi Agent ◽  
Symbolic Synthesis

We study the problem of determining the robustness of a multi-agent system of unbounded size against specifications expressed in a temporal-epistemic logic. We introduce a procedure to synthesise automatically the maximal ratio of faulty agents that may be present at runtime for a specification to be satisfied in a multi-agent system. We show the procedure to be sound and amenable to symbolic implementation. We present an implementation and report the experimental results obtained by running this on a number of protocols from swarm robotics.

Comparing Collective Foraging With Interactions Inspired by Pheromones and Sonar

2019 ◽  
Author(s):  
Aidan J. Bradley ◽  
Masoud Jahromi Shirazi ◽  
Nicole Abaid
Keyword(s):  
Swarm Robotics ◽  
Multi Agent Systems ◽  
Modeling And Control ◽  
Agent Systems ◽  
Pheromone Trails ◽  
Multi Agent ◽  
Collective Foraging ◽  
And Control ◽  
Communication Methods ◽  
Timely Topic

Abstract Communication inspired by animals is a timely topic of research in the modeling and control of multi-agent systems. Examples of such bio-inspired communication methods include pheromone trails used by ants to forage for food and echolocation used by bats to orient themselves and hunt. Source searching is one of many challenges in the field of swarm robotics that tackles an analogous problem to animals foraging for food. This paper seeks to compare two communication methods, inspired by sonar and pheromones, in the context of a multi-agent foraging problem. We explore which model is more effective at recruiting agents to forage from a found target. The results of this work begin to uncover the complicated relationship between sensing modality, collective tasks, and spontaneous cooperation in groups.

Design of an Intelligent System to Support Tutors in Learning Communities Using Multi-Agent Systems and Fuzzy Logic

2015 ◽  
Vol 10 (8) ◽  
pp. 845 ◽  
Author(s):  
Youness Chaabi ◽  
R. Messoussi ◽  
V. Hilaire ◽  
Y. Ruichek ◽  
K. Lekdioui ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Learning Communities ◽  
Intelligent System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent
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