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pro vyhledávání: '"Muhammad Aria Rajasa Pohan"'
Autor:
Muhammad Aria Rajasa Pohan, Jana Utama
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 2, Pp 152-168 (2024)
An asymptotically optimal path-planning guarantees an optimal solution if given sufficient running time. This research proposes a novel, fast, asymptotically optimal path-planning algorithm. The method uses five smart sampling strategies to improve t
Externí odkaz:
https://doaj.org/article/79b982c40fd5434c930e87fc48c94a4b
Autor:
Muhammad Aria Rajasa Pohan, Bambang Riyanto Trilaksono, Sigit Puji Santosa, Arief Syaichu Rohman
Publikováno v:
IEEE Access, Vol 12, Pp 56582-56608 (2024)
This study proposes a path planning algorithm that combines an informed rapidly-exploring random tree (RRT*) and particle swarm optimization (PSO) algorithms. The informed RRT* algorithm can build optimal pathways quickly. However, in some cases, the
Externí odkaz:
https://doaj.org/article/25de960c165b40bd89ca7b2030db9008
Autor:
Muhammad Aria Rajasa Pohan, Bambang Riyanto Trilaksono, Sigit Puji Santosa, Arief Syaichu Rohman
Publikováno v:
IEEE Access, Vol 9, Pp 153599-153615 (2021)
This paper proposes a path planning algorithm using the hybridization of the rapidly-exploring random tree (RRT) and ant colony system (ACS) algorithms. The RRT algorithm can quickly generate paths. However, the resulting path is suboptimal. Meanwhil
Externí odkaz:
https://doaj.org/article/21c2470324104cb3a25a235b2477c705
Publikováno v:
EDUKATIF : JURNAL ILMU PENDIDIKAN. 4:732-746
Program implementasi kebijakan Merdeka Belajar Kampus Merdeka (MBKM) dalam pelaksanaannya dimungkinkan akan selalu muncul permasalahan terhadap kebijakan pelaksanaannya. Dari semua kemungkinan permasalahan ini, maka tujuan yang diharapkan adalah ingi
Publikováno v:
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan; Vol 9 No 2 (2021): TELEKONTRAN Vol 9 No 2 Oktober 2021; 106-118
In this paper a method called improved gaussian sampling design and implementation using the Rapidly Exploring Random Tree* (RRT*) algorithm. The design of algotihm using Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW Improved gaus
Autor:
Arief Syaichu Rohman, Muhammad Aria Rajasa Pohan, Bambang Riyanto Trilaksono, Sigit Puji Santosa
Publikováno v:
IEEE Access, Vol 9, Pp 153599-153615 (2021)
This paper proposes a path planning algorithm using the hybridization of the rapidly-exploring random tree (RRT) and ant colony system (ACS) algorithms. The RRT algorithm can quickly generate paths. However, the resulting path is suboptimal. Meanwhil
Autor:
Muhammad Aria Rajasa Pohan
Publikováno v:
Journal of Engineering Research.
This study aims to propose a new path planning algorithm that can guarantee the optimal path solution. The method used is to hybridize the Probabilistic Road Map (PRM) algorithm with the Information Search Algorithm. This hybridization algorithm is c
Publikováno v:
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan; Vol 9 No 2 (2021): TELEKONTRAN Vol 9 No 2 Oktober 2021; 94-105
Informed Rapidly-exploring Random Tree* (Informed-RRT*) is the result of the development of the RRT algorithm which can produce an optimal asymptotic path solution but the computation time required is longer. Initially, the Informed-RRT* algorithm wa