The paper scope is autonomous operational group control over the assembly of a complex product in manufacturing performed by a team of interacting autonomous robots. Its contribution is agent-based model of robots’ individual behavior formalized in terms of finite state machines with internal states and distributed self-organizing algorithm (protocol) coordinating in peer-to-peer mode goal-oriented collective behavior of robots’ assembly team operating without any external intervention. An example illustrates the paper contribution.
This paper provides an overview of some existing methods of Earth remote sensing (ERS) using for agricultural needs. Special emphasis is placed on sensing with the help of UAVs. The paper describes the developed software and hardware complex for an aircraft-type UAV group. The proposed solution significantly increases the operating time and automates the process of monitoring agricultural areas. In addition, legislative restrictions on the use of UAVs are considered.
This paper discusses hardware and software prototype of multi-agent system for unmanned aerial vehicles (UAVs) group action planning. We describe the approach for system implementation as a whole and software agents within the system. The aim of current and future developments is creation of complex scientific and technical solutions for coordinated planning and actions management of heterogeneous UAV groups in real time.
The paper proposes multi-agent technology and a prototype system with togetheracting UAVs for joint survey missions. The prototype makes it possible to connect UAVs in a united swarm, proposes coordinated flight plans and adaptively re-configures plans due to disruptive events. The approach to organization of program agents within a prototype subsystem is described. A series of simulation experiments and several flight tests were conducted to evaluate the effectiveness of the distributed scheduling mechanism. The aim of the current and future developments is creation of complex solutions for coordinated management of UAVs for precise agriculture.