首页|Data from University of Malaga Provide New Insights into Robotics (Robotic Gas S ource Localization With Probabilistic Mapping and Online Dispersion Simulation)
Data from University of Malaga Provide New Insights into Robotics (Robotic Gas S ource Localization With Probabilistic Mapping and Online Dispersion Simulation)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting from Malaga, Spain, by NewsRx journalists, r esearch stated, "Gas source localization (GSL) with an autonomous robot is a pro blem with many prospective applications, from finding pipe leaks to emergency-re sponse scenarios. In this work, we present a new method to perform GSL in realis tic indoor environments, featuring obstacles, and turbulent flow." Financial support for this research came from Government of Andalucia under the HOUNDBOT project. The news correspondents obtained a quote from the research from the University o f Malaga, "Given the highly complex relationship between the source position and the measurements available to the robot (the single-point gas concentration, an d the wind vector) we propose an observation model that derives from contrasting the online, real-time simulation of the gas dispersion from any candidate sourc e localization against a gas concentration map built from sensor readings. To ac count for a convenient and grounded integration of both into a probabilistic est imation framework, we introduce the concept of probabilistic gas-hit maps, which provide a higher level of abstraction to model the time-dependent nature of gas dispersion."
MalagaSpainEuropeEmerging Technolo giesMachine LearningRobotRoboticsRobotsUniversity of Malaga
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