Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Muhsen, Dena Kadhim"'
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 3, Pp 78-101 (2024)
Recent advances in path-planning algorithms have transformed robotics. The Rapidly exploring Random Tree (RRT) algorithm underpins autonomous robot navigation. This paper systematically examines the uses and development of RRT algorithms in single an
Externí odkaz:
https://doaj.org/article/02abc9f0bf2746c39a51baef6b0c3073
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 1, Pp 190-204 (2024)
With the advancement of the robotics world, many path-planning algorithms have been proposed. One of the important algorithms is the Rapidly Exploring Random Tree (RRT) but with the drawback of not guaranteeing the optimal path. This paper solves thi
Externí odkaz:
https://doaj.org/article/ab9113338b2145a2a8c71a454b998db6
Autor:
Muhsen, Dena Kadhim1 (AUTHOR) ahmed.t.sadiq@uotechnology.edu.iq, Sadiq, Ahmed T.1 (AUTHOR), Raheem, Firas Abdulrazzaq2 (AUTHOR) firas.a.raheem@uotechnology.edu.iq
Publikováno v:
Algorithms. Jan2024, Vol. 17 Issue 1, p3. 36p.
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 773-42 (2024)
Due to the limitations of the initial rapidly exploring random tree (RRT) algorithm, robotics faces challenges in path planning. This study proposes the integration of the metaheuristic salp swarm algorithm (SSA) to enhance the RRT algorithm, resulti
Externí odkaz:
https://doaj.org/article/4f283beeb5a14eaa9ee37d9f2dd51cb5
Publikováno v:
Journal of Madenat Al-Elem University College / Magallaẗ Kulliyyaẗ Madīnaẗ Al-ʿAlam Al-Ğāmi'aẗ; 2019, Vol. 11 Issue 1, p132-146, 15p