Abstract
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."
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