Odor source localization algorithms on mobile robots: A review and future outlook
When applied in some harsh environments (eg in poisonous atmosphere or underwater),
odor source localization robots are able to perform better than animals without being hurt …
odor source localization robots are able to perform better than animals without being hurt …
A hybrid algorithm of particle swarm optimization, metropolis criterion and RTS smoother for path planning of UAVs
X Wu, W Bai, Y Xie, X Sun, C Deng, H Cui - Applied Soft Computing, 2018 - Elsevier
Abstract Particle Swarm Optimization (PSO) algorithm is a simple approach with premature
convergence and stagnation prone. The loss of efficiency and sub-optimal solution occur …
convergence and stagnation prone. The loss of efficiency and sub-optimal solution occur …
Modified PSO algorithms with “Request and Reset” for leak source localization using multiple robots
Y Yan, R Zhang, J Wang, J Li - Neurocomputing, 2018 - Elsevier
Leak source localization is a very important topic that has receivedmuch research attention
in recent years. The “Request and Reset” strategy is introduced here into the GC-PSO and D …
in recent years. The “Request and Reset” strategy is introduced here into the GC-PSO and D …
Coupled controls-computational fluids approach for the estimation of the concentration from a moving gaseous source in a 2-D domain with a Lyapunov-guided …
MA Demetriou, NA Gatsonis… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
The estimation of the gas concentration (process state) associated with an emitting
stationary or moving source using a sensing aerial vehicle (SAV) is considered. The …
stationary or moving source using a sensing aerial vehicle (SAV) is considered. The …
A Cauchy mutant pigeon-inspired optimization–based multi-unmanned aerial vehicle path planning method
BH Wang, DB Wang, ZA Ali - Measurement and Control, 2020 - journals.sagepub.com
To improve the performance of multi-unmanned aerial vehicle path planning in plateau
narrow area, a control strategy based on Cauchy mutant pigeon-inspired optimization …
narrow area, a control strategy based on Cauchy mutant pigeon-inspired optimization …
Using simplified swarm optimization on path planning for intelligent mobile robot
YK Ever - Procedia computer science, 2017 - Elsevier
This study examined how path planning of intelligent mobile robot could be enhanced by
utilizing simplified swarm optimization (SSO) in working environment with irregular …
utilizing simplified swarm optimization (SSO) in working environment with irregular …
Autonomous quadcopter swarm robots for object localization and tracking
A swarm Unmanned Aerial Vehicle (UAV) or quad copter robot for object localization and
tracking has been developed. The robot is potentially utilized for military purpose, ie doing …
tracking has been developed. The robot is potentially utilized for military purpose, ie doing …
An experimental study on locating time-varying pollutant sources in a dynamic indoor environment with mechanical ventilation based on multi-robot cooperation
Y Liao, A Chen, H Cai, J Lu, W Zhang, B Lin… - Journal of Building …, 2023 - Elsevier
Using robots to locate indoor pollutant sources has attracted increasing attention in recent
years, which is important for securing people's health and safety indoors. However, few …
years, which is important for securing people's health and safety indoors. However, few …
Artificial Intelligence Search Strategies for Autonomous Underwater Vehicles Applied for Submarine Groundwater Discharge Site Investigation
In this study, a set of different search strategies for locating submarine groundwater
discharge (SGD) are investigated. This set includes pre-defined path planning (PPP) …
discharge (SGD) are investigated. This set includes pre-defined path planning (PPP) …
Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis
NS Johnson, A Muhammad, H Thompson… - Behavioral Ecology and …, 2012 - Springer
Abstract Characterization of vertebrate chemo-orientation strategies over long distances is
difficult because it is often not feasible to conduct highly controlled hypothesis-based …
difficult because it is often not feasible to conduct highly controlled hypothesis-based …