首页|Researcher at Istanbul Technical University Has Published New Data on Robotics (Indoor 2D Autonomous Exploration with an Omnidirectional Robot: A Strategy Based on Rapidly-Exploring Random Trees)
Researcher at Istanbul Technical University Has Published New Data on Robotics (Indoor 2D Autonomous Exploration with an Omnidirectional Robot: A Strategy Based on Rapidly-Exploring Random Trees)
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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 originating from Istanbul,Turkey,by NewsRx correspondents,research stated,"An essential characteristic of a fully autono mous robot is the capability to examine an unfamiliar environment and construct a representation of it." The news reporters obtained a quote from the research from Istanbul Technical Un iversity: "The challenge of autonomous exploration involves overcoming various s ub-problems,including Simultaneous Localization and Mapping (SLAM),motion plan ning,target identification,and informed decision-making for target selection. This paper presents a frontier-based methodology to identify potential navigatio n targets for the autonomous exploration of unknown environments by an omnidirec tional robot. Permanent and temporary Rapidly-exploring Random Tree (RRT)-based structures are used to search the map and detect frontier points. A novel temporary RRT-based structure,Frontier Temporary Tree,is introduced in this study. It is noteworthy that RRT is solely used to search the explorable space for front ier points and does not contribute to motion planning. A cost-benefit analysis,taking into account path cost,heading cost,and information gain,is used to ev aluate the frontier points and determine the best target among them."
Istanbul Technical UniversityIstanbulTurkeyEurasiaEmerging TechnologiesMachine LearningRobotRobotics
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