Recently, research on unmanned aerial vehicles (UAVs) has increased significantly. UAVs do not require pilots for operation, and must possess autonomous flight capabilities to ensure that they can be controlled without a human pilot the ground. Previous studies have mainly focused rule-based methods, which specialized personnel create rules. Reinforcement learning been applied UAV flight; howev...

Nowadays, the process of integrating autonomous robotic systems (ARS) and military personnel formation is actively underway. Such a new object in armed forces (AF) should have property self-sufficient behavior that guarantees mission fulfillment. The problem construction information processes control ensure predictable an artificial system within Armed Force subdivisions similar to human one. C...

In this paper, we propose a modeling paradigm that uses fuzzy sets to represent concepts on which control modules of a behavior-based autonomous robot operate. The primitives defined in the modeling paradigm are expressive enough to represent the knowledge needed by planning, coordination, and reactive control of a multi-robot control system. At the same time, it provides a well-founded tool to...

Information from the sky is important for rescue activity in large-scale disaster or dangerous areas. Observation system using a balloon or an airplane has been studied as an information gathering system from the sky. A balloon observation system needs helium gas and relatively long time to be ready. An airplane observation system can be prepared in a short time and its mobility is good. Howeve...

This paper presents four requirements for BDI-based agent programming languages to facilitate the implementation of autonomous robot control systems. The first requirement is to support the integration of these languages with robotic frameworks. The second requirement is real-time reaction and response to events. The real-time reactivity problem in the BDI architecture is discussed and a distri...