Zobrazeno 1 - 10
of 767
pro vyhledávání: '"Rapidly exploring random tree"'
Publikováno v:
Radiation Protection and Environment, Vol 47, Iss 2, Pp 102-114 (2024)
Radioactive environments are often dynamic for various reasons, such as the dismantling of nuclear facilities, leakage of radiation sources, and nuclear accidents. Path planning in a dynamic radioactive environment is one of the important issues in r
Externí odkaz:
https://doaj.org/article/0e03b7060310416e9d07e62d7bcbd8b3
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 7, Pp 102146- (2024)
Due to its asymptotic optimality, the Rapidly-exploring Random Tree star (RRT*) algorithm is widely used for robotic operations in complex environments. However, the RRT* algorithm suffers from poor path quality, slow convergence, and unstable genera
Externí odkaz:
https://doaj.org/article/6c2dbd9b98414ae39e38bdba6ddb51b8
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:
Tong Xu
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32451- (2024)
Path planning is an crucial research area in robotics. Compared to other path planning algorithms, the Rapidly-exploring Random Tree (RRT) algorithm possesses both search and random sampling properties, and thus has more potential to generate high-qu
Externí odkaz:
https://doaj.org/article/c4b636a92fc64ae6919793df19ab890b
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
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Efficient obstacle-avoidance path planning is critical for orchards with numerous irregular obstacles. This paper presents a continuous bidirectional Quick-RRT* (CBQ-RRT*) algorithm based on the bidirectional RRT (Bi-RRT) and Quick-RRT* algorithms an
Externí odkaz:
https://doaj.org/article/ad0158526c204350a1097a8cfa92a37d
Publikováno v:
Jixie chuandong, Vol 47, Pp 23-30 (2023)
Aiming at the problems in the path planning of the manipulator by artificial potential field (APF) method, a method combining the APF adaptive variable step size in the joint space and goal-biased rapidly-exploring random tree (RRT) is proposed. The
Externí odkaz:
https://doaj.org/article/abaecbbc863841d28d8f0f43acde8fc1
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1206 (2024)
This article presents a combined route and path planning strategy to guide Skid–Steer Mobile Robots (SSMRs) in scheduled harvest tasks within expansive crop rows with complex terrain conditions. The proposed strategy integrates: (i) a global planni
Externí odkaz:
https://doaj.org/article/8a233980eba44cc9b8505634cbda90f0
Autor:
César Gómez Arnaldo, María Zamarreño Suárez, Francisco Pérez Moreno, Raquel Delgado-Aguilera Jurado
Publikováno v:
Drones, Vol 8, Iss 7, p 288 (2024)
This paper introduces a comprehensive framework for generating obstacle-free flight paths for unmanned aerial vehicles (UAVs) in intricate 3D environments. The system leverages the Rapidly Exploring Random Tree (RRT) algorithm to design trajectories
Externí odkaz:
https://doaj.org/article/4eafae9bbd0c490f967b701b22f0f8d9
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 397-412 (2023)
Abstract Mobile cable-driven parallel robots (MCDPRs) offer expanded motion capabilities and workspace compared to traditional cable-driven parallel robots (CDPRs) by incorporating mobile bases. However, additional mobile bases introduce more degree-
Externí odkaz:
https://doaj.org/article/701ffb4b78334180aef8d06490787734