Showing papers by "Veysel Gazi published in 2016"

Implementation Studies of Robot Swarm Navigation Using Potential Functions and Panel Methods

Abstract: This paper presents a practical swarm navigation algorithm based on potential functions and properties of inviscid incompressible flows. Panel methods are used to solve the flow equations around complex shaped obstacles and to generate the flowlines, which provide collision-free paths to the goal position. Safe swarm navigation is achieved by following the generated streamlines. Potential functions are used to achieve and maintain group cohesion or a geometric formation during navigation. The algorithm is implemented and tested through numerical simulations, as well as experimental implementations on real robots in a laboratory environment in two settings, in which the flowlines are calculated either offline or in real time. The algorithm is easy to implement and can serve as an effective tool for cohesive navigation of robotic swarms.

Adaptive Swarm Coordination and Formation Control

Abstract: Swarm coordination and formation control designs focus on multi-agent dynamic system behavior and aim to achieve desired coordinated behavior or predefined geometric shape. They utilize techniques from the control theory and graph theory literature. On the other hand, adaptive control theory is concerned with uncertainties in the system dynamics, and has structured frameworks for various types of plant models. Therefore, in case there are uncertainties in the swarm dynamics, adaptive control methodologies can be utilized to achieve the desired coordinated behavior and there exist remarkable works in this direction. However, connection among swarm coordination, formation control, and adaptive control theory brings some restrictions as well as advantages. Hence adaptive swarm coordination and formation control has been developed in limited aspects. In this chapter, we review some existing works of the adaptive formation control literature along with non-adaptive ones, and discuss the advantages of application of adaptive control frameworks to swarm coordination and formation control.

Adaptive Internal Model-Based Distributed Output Agreement in a Class of Multi-Agent Dynamic Systems

Abstract: In this study we consider the distributed output agreement problem in a class of multi-agent dynamic systems with uncertainties. The problem is formulated as a nonlinear servomechanism problem and an adaptive internal model-based controller is used to achieve agreement of the agent outputs using local information. Various agent neighborhood topologies are considered and the performance of the system is verified using simple numerical simulations.