Andrey V. Savkin

TL;DR: Methods applicable to stationary obstacles, moving obstacles and multiple vehicles scenarios are reviewed, and particular attention is given to reactive methods based on local sensory data, with a special focus on recently proposed navigation laws based on model predictive and sliding mode control.

TL;DR: In this article, the authors present recent developments in the theory of robust state estimation for the case in which a process model contains significant uncertainties and nonlinearities, and discuss the various ways in which the standard Kalman Filter can be modified to make it robust against large parameter uncertainties.

TL;DR: This note gives a qualitative analysis of the dynamics of a system consisting of several mobile robots coordinating their motion using simple local nearest neighbor rules and shows that under some assumptions the headings of all robots will be eventually constant.

TL;DR: This book focuses on a comprehensive development of HDS theory and integrates results established by the authors, covering several theoretically interesting and practically significant problems concerning the use of switched controllers and examining the sensor scheduling problem.