首页|Research from University of Technology in Robotics Provides New Insights (A Syst ematic Review of Rapidly Exploring Random Tree RRT Algorithm for Single and Mult iple Robots)
Research from University of Technology in Robotics Provides New Insights (A Syst ematic Review of Rapidly Exploring Random Tree RRT Algorithm for Single and Mult iple Robots)
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024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on robotics have been published . According to news originating from Baghdad, Iraq, by NewsRx correspondents, re search stated, "Recent advances in path-planning algorithms have transformed rob otics." The news reporters obtained a quote from the research from University of Technol ogy: "The Rapidly exploring Random Tree (RRT) algorithm underpins autonomous rob ot navigation. This paper systematically examines the uses and development of RR T algorithms in single and multiple robots to demonstrate their importance in mo dern robotics studies. To do this, we have reviewed 70 works on RRT algorithms i n single and multiple robot path planning from 2015 to 2023. RRT algorithm evolu tion, including crucial turning points and innovative techniques, have been exam ined. A detailed comparison of the RRT Algorithm versions reveals their merits, limitations, and development potential. The review's identification of developin g regions and future research initiatives will enable roboticists to use RRT alg orithms."
University of TechnologyBaghdadIraqAsiaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotR obotics
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