A pso-based mobile robot for odor source localization in dynamic advection-diffusion with obstacles environment: theory, simulation and measurement

Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System

“…For example, swarm intelligence, now an efficient, distributed computational methodology for solving complex problems, was inspired from behaviors of social insects. Among other applications, swarm intelligence has shown to be a successful approach to solving MRS problems [6], [12], [21], [22], [25], [31].…”

Key Aspects of PSO-Type Swarm Robotic Search: Signals Fusion and Path Planning

“…To integrate collision avoidance mechanism, we assume that proximity sensors (infrared or laser) are equipped on each robot (Jatmiko et al, 2007). Without taking the types and properties of proximity sensors into account, we can only extract the commonness according to the principle of range measurement for modeling.…”

“…Extending the particle swarm optimization (PSO) algorithm to be one of systemic modeling and controlling tools, several research groups investigate target search with swarm robots (simulated or physical) respectively (Doctor et al, 2004;Hereford & Siebold, 2008;Jatmiko et al, 2007;Marques et al, 2006;Pugh & Martinoli, 2007;Xue & Zeng, 2008). The common idea they hold is to map such swarm robotic search to PSO and deal it with by employing the existing bio-inspired approaches to the latter case in a similar way (Xue et al, 2009).…”

“…Doctor et al discuss applying PSO for multiple robot searches, whose focus is on optimizing the parameters of their algorithm (Doctor et al, 2004). Jatmiko et al exert mobile robots for plume detection and traversal, with utilizing a modified form of PSO to control the robots and consider how the robots respond to search space changes such as turbulence and wind changes (Jatmiko et al, 2007). Hereford et al consider how well the PSO-based robot search will scale to large numbers of robots by designing specific communication strategies.…”

A Graph-Based Formation Algorithm for Odor Plume Tracing

“…Experiments have also been conducted with multiple robots [10,17,13], acting both independently and cooperatively. Other approaches include Braitenberg-type control [16], probabilistic inference [28,17,15] and meta-heuristic optimization methods [1,2,3,12,21].…”