首页|Wuhan University of Science and Technology Researcher Illuminates Research in Ro botics (Gas source localization using Dueling Deep Q-Network with an olfactory q uadruped robot)
Wuhan University of Science and Technology Researcher Illuminates Research in Ro botics (Gas source localization using Dueling Deep Q-Network with an olfactory q uadruped robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on robotics are presented i n a new report. According to news reporting originating from Wuhan, People's Rep ublic of China, by NewsRx correspondents, research stated, "Gas source localizat ion is one of the most common applications of a gas-sensitive mobile robot." The news reporters obtained a quote from the research from Wuhan University of S cience and Technology: "However, most of the existing work focuses on rule-based algorithms for wheeled robots, which are difficult to apply in complex terrain with obstacles. In this article, we propose an olfactory quadruped robot to perf orm the gas source localization task using the Dueling Deep Q-Network (Dueling D QN) algorithm. For training, we designed a set of environments and imported gas dispersion data from computational fluid dynamics (CFD) software to construct a simulator. The olfactory quadruped robot was trained in this simulator using the Dueling DQN algorithm to learn how to find the gas source. The trained neural n etwork was then deployed on the olfactory quadruped robot."
Wuhan University of Science and Technolo gyWuhanPeople's Republic of ChinaAsiaEmerging TechnologiesMachine Lear ningRobotRobotics
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