Tracking People in Highly Dynamic Industrial Environments

Motion Planning for People Tracking in Uncertain and Dynamic Environments

Target tracking is an important capability for autonomous robots. The goal of this work is to construct motion strategies for a robot so that it can handle visual and mobility obstruction due to obstacles and maneuver effectively to track a mobile target in a dynamic, uncertain environment. There are two broad approaches to address dynamic changes and uncertainties in the environment: to react ...

Tracking People in Indoor Environments

Tracking the movement of people in indoor environments is useful for a variety of applications including elderly care, study of shopper behavior in shopping centers, security etc. There have been several previous efforts at solving this problem but with limited success. Our approach uses inexpensive pressure sensors, placed in a specific manner, that allows us to identify multiple people. Given...

Tracking Optima in Dynamic Environments

Tracking Extrema in Dynamic Environments

Abstract. Typical applications of evolutionary optimization involve the off-line approximation of extrema of static multi-modal functions. Methods which use a variety of techniques to self-adapt mutation parameters have been shown to be more successful than methods which do not use self-adaptation. For dynamic functions, the interest is not to obtain the extrema but to follow it as closely as p...

Self-stabilizing Robots in Highly Dynamic Environments

This paper deals with the classical problem of exploring a ring by a cohort of synchronous robots. We focus on the perpetual version of this problem in which it is required that each node of the ring is visited by a robot infinitely often. The challenge in this paper is twofold. First, we assume that the robots evolve in a highly dynamic ring, i.e., edges may appear and disappear unpredictably ...