Rohrich, Ronnier FratesMessias, Luís FelipeLima, JoséOliveira, Andre Schneider2024-01-302024-01-302023Rohrich, Ronnier Frates; Messias, Luis; Lima, José; Oliveira, Andre Schneider (2023). A linear regression based-approach to collective gas source localization. In 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO). p. 657-664. ISBN 978-989-758-670-5978-989-758-670-5http://hdl.handle.net/10198/29397This work addresses the problem of gas leaks and proposes a search strategy for identifying the source of a gas leak within a virtual simulation environment. The research focuses on designing and implementing simulation, control, and gas source search packages using swarm robotics. The simulation employs numerical integration strategies, while the robot swarm control is based on potential fields theory. The location of the gas source using a weighted linear regression strategy is used to estimate the gas concentration gradient, which plays a crucial role in the optimization strategy employed. The paper presents an overview of the key concepts employed and their relevance to different stages of the problem and highlights the main results achieved through the chosen strategies. A significant outcome of this work is the development of reusable software packages applicable to various research contexts in mobile robotics.engMobile robotOlfactory roboticsLinear regressionconference paper10.5220/0012187100003543