Eduard Semsch

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We address the problem of multi-UAV-based surveillance in complex urban environments with occlusions. The problem consists of controlling the flight of UAVs with on-board cameras so that the coverage and recency of the information about the designated area is maximized. In contrast to the existing work, sensing constraints due to occlusions and UAV motion(More)
Intelligent agents are gaining widespread applications in many trading markets. Although the US wholesale power market comprises a large commodity market, the mechanism of power trading is not clearly investigated. We explore the problem via an intelligent agent-based approach. We create an artificial wholesale market, where many different traders are(More)
We present an agent-based coordination and planning method for aerial surveillance of multiple urban areas using a group of fixed-wing unmanned aerial vehicles (UAVs). The method differs from the existing work by explicit consideration of sensor occlusions that can occur due to high buildings and other obstacles in the target area. The solution employs a(More)
The e-Cat is a research prototype of a tool for maintenance of members' profiles and competencies in a Virtual Organisation Breeding Environment. The system combines peer-to-peer approach and centralized architecture. Distribution enables members to maintain their profiles locally and to work in the off-line mode when needed. Centralized components of the(More)
When multiple agents act concurrently towards achieving their goals in a shared environment, interactions between their actions may arise, affecting the outcome of their plans. We propose an approach to planning in such environments, termed interference ro-bustness optimization planning that builds upon the HTN planning paradigm and extends it with explicit(More)
The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of(More)
We present an agent-based coordination and planning method for autonomous aerial surveillance of multiple urban areas using a group of fixed-wing unmanned aerial vehicles (UAVs). The goal of the surveillance is to observe a set of ground points of interest within the target areas as often as possible. The method differs from the existing work by explicit(More)
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