Zobrazeno 1 - 10
of 780
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:
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:
Sensors, Vol 24, Iss 23, p 7596 (2024)
To address the design and application requirements for USVs (Unmanned Surface Vehicles) to autonomously escape from constrained environments using a minimal number of sensors, we propose a path planning algorithm based on the RRT* (Rapidly Exploring
Externí odkaz:
https://doaj.org/article/b8a6df48e18841df8a0339462a9ed93f
Publikováno v:
Sensors, Vol 24, Iss 21, p 6948 (2024)
This paper presents a rapidly exploring random tree (RRT) algorithm with an effective post waypoint shift, which is suitable for the path planning of a wheeled mobile robot under kinematic constraints. In the growth of the exploring tree, the nearest
Externí odkaz:
https://doaj.org/article/711e67dbd951419f83d8a4a030f45a0c
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
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
Autor:
V. V. Golubov, S. V. Manko
Publikováno v:
Российский технологический журнал, Vol 11, Iss 6, Pp 16-27 (2023)
Objectives. The work analyzes features of one of the most promising approaches to solve the problems for motion planning of autonomous robotic manipulators of various types and purposes using the rapidly exploring random tree (RRT) method. The develo
Externí odkaz:
https://doaj.org/article/ec2f2240b1c449f1bedfdb744c3d8926
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