David Sislák

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Ever rising deployment of Unmanned Aerial Assets (UAAs) in complex military and rescue operations require novel and innovative methods for intelligent planning and collision avoidance among a high number of heterogeneous, semi-trusted flying assets in well specified and constrained areas [1]. We have studied the free flight concept as an alternative to the(More)
At present several Java-based multi-agent platforms from different developers are available, but none of them fully supports agent mobility and communication inaccessibility simulation. They are thus unsuitable for experiments with large scale real-world simulation. In this chapter we describe architecture of A-globe , fast, scalable and lightweight agent(More)
At present several Java-based multi-agent platforms from different developers are available, but none of them fully supports agent mobility and communication inaccessibility. They are thus no suitable for experiments with real-world simulation. In this paper we describe architecture of newly developed agent platform A-globe. It is fast and lightweight(More)
The paper proposes decentralized deconfliction algorithms deployed on multiple autonomous aerial vehicles in freeflight operations. The paper provides two separate algorithms for collision avoidance one based on the iterative peer-to-peer negotiation solving a singular collision and second based on multi-party negotiation about a cluster of collisions. The(More)
A-globe [3, 1] is a simulation oriented multi-agent platform featuring agent migration, communication inaccessibility simulation and high scalability with moderate hardware requirements. Using dedicated simulation messaging together with 2D and 3D visualization support, large agent systems can be engineered, tested and visualized on a single machine.(More)
Rising manned air traffic and deployment of unmanned aerial vehicles in complex operations requires integration of innovative and autonomous conflict detection and resolution methods. In this paper, the task of conflict detection and resolution is defined as an optimization problem searching for a heading control for cooperating airplanes using(More)
In this talk, we examine the basic principles, ideas, and strategies of granular computing, and look at the potential applications and implications of granular computing to the studies of Web Intelligence (WI) and Brain Informatics (BI).We argue that granular computing may provide the necessary theory for designing and implementing new types of web-based(More)
Increasing air-traffic demand implies that new air-traffic management (ATM) concepts lowering controller loads, maintaining safety and increasing efficiency need to be designed and implemented. Many of such ideas are prepared within NextGEN. Before they are deployed to real daily usage in National Airspace System (NAS), they must be rigorously evaluated(More)
Intelligent-agents technology provides techniques and algorithms for distributed coordination and distributed decision making. The authors developed AgentFly, a multiagent prototype for air traffic control of free-flight-based operations of multiple aerial assets, based on intelligent agents. AgentFly provides mechanisms for distributed planning,(More)