scholarly journals Multi-Agent Motion Control of Autonomous Vehicles in 3D Flow Fields

PAMM ◽  
2012 ◽  
Vol 12 (1) ◽  
pp. 733-734 ◽  
Author(s):  
Axel Hackbarth ◽  
Edwin Kreuzer ◽  
Andrew Gray
Keyword(s):  
Motion Control ◽  
Autonomous Vehicles ◽  
Flow Fields ◽  
3D Flow ◽  
Multi Agent

scholarly journals A Programming Approach to Collective Autonomy

2021 ◽  
Vol 10 (2) ◽  
pp. 27
Author(s):  
Roberto Casadei ◽  
Gianluca Aguzzi ◽  
Mirko Viroli
Keyword(s):  
Autonomous Vehicles ◽  
Autonomic Computing ◽  
Autonomous Agents ◽  
Programming Approach ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Simulated Case ◽  
Complex Settings

Research and technology developments on autonomous agents and autonomic computing promote a vision of artificial systems that are able to resiliently manage themselves and autonomously deal with issues at runtime in dynamic environments. Indeed, autonomy can be leveraged to unburden humans from mundane tasks (cf. driving and autonomous vehicles), from the risk of operating in unknown or perilous environments (cf. rescue scenarios), or to support timely decision-making in complex settings (cf. data-centre operations). Beyond the results that individual autonomous agents can carry out, a further opportunity lies in the collaboration of multiple agents or robots. Emerging macro-paradigms provide an approach to programming whole collectives towards global goals. Aggregate computing is one such paradigm, formally grounded in a calculus of computational fields enabling functional composition of collective behaviours that could be proved, under certain technical conditions, to be self-stabilising. In this work, we address the concept of collective autonomy, i.e., the form of autonomy that applies at the level of a group of individuals. As a contribution, we define an agent control architecture for aggregate multi-agent systems, discuss how the aggregate computing framework relates to both individual and collective autonomy, and show how it can be used to program collective autonomous behaviour. We exemplify the concepts through a simulated case study, and outline a research roadmap towards reliable aggregate autonomy.

scholarly journals Autonomous Navigation of a Team of Unmanned Surface Vehicles for Intercepting Intruders on a Region Boundary

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 297
Author(s):  
Ali Marzoughi ◽  
Andrey V. Savkin
Keyword(s):  
Motion Control ◽  
Autonomous Vehicles ◽  
Autonomous Navigation ◽  
Control Algorithm ◽  
Autonomous Vehicle ◽  
Sufficient Conditions ◽  
Real Life ◽  
Unmanned Surface Vehicles ◽  
Necessary And Sufficient ◽  
See Region

We study problems of intercepting single and multiple invasive intruders on a boundary of a planar region by employing a team of autonomous unmanned surface vehicles. First, the problem of intercepting a single intruder has been studied and then the proposed strategy has been applied to intercepting multiple intruders on the region boundary. Based on the proposed decentralised motion control algorithm and decision making strategy, each autonomous vehicle intercepts any intruder, which tends to leave the region by detecting the most vulnerable point of the boundary. An efficient and simple mathematical rules based control algorithm for navigating the autonomous vehicles on the boundary of the see region is developed. The proposed algorithm is computationally simple and easily implementable in real life intruder interception applications. In this paper, we obtain necessary and sufficient conditions for the existence of a real-time solution to the considered problem of intruder interception. The effectiveness of the proposed method is confirmed by computer simulations with both single and multiple intruders.

scholarly journals Review on Motion Control of Autonomous Vehicles

2020 ◽  
Vol 56 (10) ◽  
pp. 127
Author(s):  
XIONG Lu ◽  
YANG Xing ◽  
ZHUO Guirong ◽  
LENG Bo ◽  
ZHANG Renxie
Keyword(s):  
Motion Control ◽  
Autonomous Vehicles

scholarly journals Determining 3D Flow Fields via Multi-camera Light Field Imaging

10.3791/4325 ◽  
2013 ◽  
Author(s):  
Tadd T. Truscott ◽  
Jesse Belden ◽  
Joseph R. Nielson ◽  
David J. Daily ◽  
Scott L. Thomson
Keyword(s):  
Light Field ◽  
Flow Fields ◽  
3D Flow ◽  
Light Field Imaging ◽  
Field Imaging

Numerical Solution of 3D Flow Fields Utilized for Problems of Flow Through Transonic Stages

2001 ◽  
pp. 795-796
Author(s):  
Jiří Dobeš ◽  
Jaroslav Fořt ◽  
Jiří Fürst ◽  
Jan Halama ◽  
Karel Kozel
Keyword(s):  
Numerical Solution ◽  
Flow Fields ◽  
3D Flow ◽  
Flow Through

Motion Control of Autonomous Vehicles with Guaranteed Prescribed Performance

2019 ◽  
Vol 18 (6) ◽  
pp. 1510-1517
Author(s):  
Hongyang Xia ◽  
Jiqing Chen ◽  
Fengchong Lan ◽  
Zhaolin Liu
Keyword(s):  
Motion Control ◽  
Autonomous Vehicles ◽  
Prescribed Performance

The Effectiveness of Transferring Multi-Agent Behaviors From a Learning Environment in the Presence of Synthetic Social Structures

2005 ◽  
Author(s):  
Keith Garfield ◽  
Annie Wu ◽  
Mehmet Onal ◽  
Britt Crawford ◽  
Adam Campbell ◽  
...  
Keyword(s):  
Learning Environment ◽  
Autonomous Vehicles ◽  
Social Structures ◽  
Agent Behavior ◽  
The Social ◽  
Multi Agent ◽  
Group Members ◽  
The Common ◽  
Primary Focus ◽  
The Impact

The diverse behavior representation schemes and learning paradigms being investigated within the robotics community share the common feature that successful deployment of agents requires that behaviors developed in a learning environment are successfully applied to a range of unfamiliar and potentially more complex operational environments. The intent of our research is to develop insight into the factors facilitating successful transfer of behaviors to the operational environments. We present experimental results investigating the effects of several factors for a simulated swarm of autonomous vehicles. Our primary focus is on the impact of Synthetic Social Structures, which are guidelines directing the interactions between agents, much like social behaviors direct interactions between group members in the human and animal world. The social structure implemented is a dominance hierarchy, which has been shown previously to facilitate negotiation between agents. The goal of this investigation is to investigate mechanisms adding robustness to agent behavior.

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