To locate contaminant sources in dynamic indoor environments, this study presents an
improved particle swarm optimization (IPSO) method independent of airflow information and …

Purpose Vision, audition, olfactory, tactile and taste are five important senses that human
uses to interact with the real world. As facing more and more complex environments, a …

In this study, we designed and experimentally verified the placement of odor sensors and an
algorithm using the aero-olfactory effect of a palm-sized quadcopter to solve the 3-D …

We describe and analyze the Local Charged Particle Swarm Optimization (LCPSO)
algorithm, that we designed to solve the problem of tracking a moving target releasing scalar …

In this paper, we focus on the chemical plume tracing (CPT) problem, which is a known
engineering challenge. In nature, animals solve the CPT by adaptively modifying their …

The prompt and accurate identification of transient pollution sources in urban regions is
imperative for effective pollutant control and the mitigation to public health risks. Depending …

Odour plumes in turbulent environments are intermittent and sparse. Laboratory-scaled
experiments suggest that information about the source distance may be encoded in odour …

Source search is an important problem in our society, relating to finding fire sources, gas
sources, or signal sources. Particularly, in an unexplored and potentially dangerous …

Valentino Braitenberg reported his seminal thought experiment in 1984 using reactive
automatons or vehicles with relatively simple sensorimotor connections as models for …

This article develops a distributed sign gradient-free algorithm for simultaneous source
localization and formation of a multirobot system. A distinguished feature of the algorithm is …