Suchergebnisse - "Random Tree algorithm"
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Rapidly‐Exploring Random Tree Algorithm Based on Environmental Fuzzy Controller
ISSN: 0013-5194, 1350-911XVeröffentlicht: 01.01.2025Veröffentlicht in Electronics letters (01.01.2025)“… This paper presents an improved unmanned aerial vehicle (UAV) path planning algorithm that combines the advantages of fuzzy control and the artificial …”
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Density gradient-RRT: An improved rapidly exploring random tree algorithm for UAV path planning
ISSN: 0957-4174Veröffentlicht: Elsevier Ltd 15.10.2024Veröffentlicht in Expert systems with applications (15.10.2024)“… In-depth studies of algorithms for solving motion planning problems have been conducted due to the rapid popularization and development of unmanned aerial …”
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HMS-RRT: A novel hybrid multi-strategy rapidly-exploring random tree algorithm for multi-robot collaborative exploration in unknown environments
ISSN: 0957-4174, 1873-6793Veröffentlicht: Elsevier Ltd 01.08.2024Veröffentlicht in Expert systems with applications (01.08.2024)“… In this paper, we proposed a novel multi-robot collaborative exploration method to improve the efficiency and robustness of multi-robot exploration in unknown …”
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An adaptive bidirectional quick optimal Rapidly-exploring Random Tree algorithm for path planning
ISSN: 0952-1976, 1873-6769Veröffentlicht: Elsevier Ltd 01.09.2024Veröffentlicht in Engineering applications of artificial intelligence (01.09.2024)“… In recent decades, sampling-based algorithms have played an important role in path planning. As an extended algorithm of Rapidly-exploring Random Tree(RRT), …”
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An adaptive bidirectional optimal rapidly exploring random tree algorithm with dynamic adjustment and extended guidance strategy
ISSN: 0921-8890Veröffentlicht: Elsevier B.V 01.04.2026Veröffentlicht in Robotics and autonomous systems (01.04.2026)“… In order to solve the problems of strong expansion randomness, slow convergence speed, and poor environmental adaptability in the optimal Rapidly-exploring …”
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RRT-based CPC: A configuration planning method for continuum robots using Rapidly-exploring Random Tree algorithm
ISSN: 0921-8890Veröffentlicht: Elsevier B.V 01.01.2026Veröffentlicht in Robotics and autonomous systems (01.01.2026)“… Obstacle-aware configuration control represents a critical challenge in the deployment of continuum robots for advanced applications such as robotic-assisted …”
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Transformer-guided optimization of railway alignments using an adaptive rapidly-exploring random tree algorithm
ISSN: 1568-4946Veröffentlicht: Elsevier B.V 01.12.2025Veröffentlicht in Applied soft computing (01.12.2025)“… Railway alignment design is a crucial part of a railway project. Despite the widespread success of computer-aided alignment optimization methods in determining …”
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Collision-Free Path Planning Method for Robots Based on an Improved Rapidly-Exploring Random Tree Algorithm
ISSN: 2076-3417, 2076-3417Veröffentlicht: Basel MDPI AG 01.02.2020Veröffentlicht in Applied sciences (01.02.2020)“… Sampling-based methods are popular in the motion planning of robots, especially in high-dimensional spaces. Among the many such methods, the Rapidly-exploring …”
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Modeling UAV swarm flight trajectories using Rapidly-exploring Random Tree algorithm
ISSN: 1319-1578Veröffentlicht: Springer 01.01.2024Veröffentlicht in Journal of King Saud University. Computer and information sciences (01.01.2024)“… The paper presents the concept of determining the flight trajectory of an unmanned aerial vehicle (UAV) swarm that forms a flying ad-hoc network (FANET) for …”
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A novel rapidly-exploring random tree algorithm with dynamic goal biasing and position-constrained sampling based on equal-interval nodes and cost optimization: application to mobile robots
ISSN: 0952-1976Veröffentlicht: Elsevier Ltd 01.03.2026Veröffentlicht in Engineering applications of artificial intelligence (01.03.2026)“… Path planning is fundamental to the autonomous navigation of mobile robots, necessitating the development of a safe and efficient route from the starting point …”
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GVP-RRT: a grid based variable probability Rapidly-exploring Random Tree algorithm for AGV path planning
ISSN: 2199-4536, 2198-6053Veröffentlicht: Cham Springer International Publishing 01.12.2024Veröffentlicht in Complex & intelligent systems (01.12.2024)“… ), this paper proposes a Grid-based Variable Probability Rapidly-exploring Random Tree algorithm (GVP-RRT …”
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Application of the Improved Rapidly Exploring Random Tree Algorithm to an Insect-like Mobile Robot in a Narrow Environment
ISSN: 2313-7673, 2313-7673Veröffentlicht: Basel MDPI AG 01.08.2023Veröffentlicht in Biomimetics (Basel, Switzerland) (01.08.2023)“… When intelligent mobile robots perform global path planning in complex and narrow environments, several issues often arise, including low search efficiency, …”
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Random Tree Algorithm to Analyse the Relation between Type of Traumatic Dental Injuries and Its Demographic and Predisposing Factors - A Cross-Sectional Study
ISSN: 0970-9290, 1998-3603Veröffentlicht: India Wolters Kluwer - Medknow 01.04.2023Veröffentlicht in Indian journal of dental research (01.04.2023)“… Background and Aim: Traumatic dental injuries (TDIs) have become the public dental health problem worldwide in children and adolescents. These injuries are …”
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Rapidly Exploring Random Tree Algorithm-Based Path Planning for Robot-Aided Optical Manipulation of Biological Cells
ISSN: 1545-5955, 1558-3783Veröffentlicht: New York IEEE 01.07.2014Veröffentlicht in IEEE transactions on automation science and engineering (01.07.2014)“… In numerous cellular applications, cells are transported to specific positions or extracted from complex cell solutions. Therefore, an efficient cell …”
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Motion Planning of Unmanned Aerial Vehicle Based on Rapid-exploration Random Tree Algorithm
ISSN: 1742-6588, 1742-6596Veröffentlicht: Bristol IOP Publishing 01.06.2022Veröffentlicht in Journal of physics. Conference series (01.06.2022)“… In the study of route planning problems in complex environments, in order to reduce the flight cost of unmanned aerial vehicles (UAVs), it is necessary to …”
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Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm
ISSN: 0353-5320, 1848-4069Veröffentlicht: Sveučilište u Zagrebu Fakultet prometnih znanosti 01.01.2024Veröffentlicht in Promet (01.01.2024)“… To address this, a method based on fast search random tree algorithm is proposed. An urban microcirculation traffic network is constructed using directed graphs, and road network interference intensity and capacity are calculated …”
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Control of constrained high dimensional nonlinear liquid level processes using a novel neural network based Rapidly exploring Random Tree algorithm
ISSN: 1568-4946Veröffentlicht: Elsevier B.V 01.11.2020Veröffentlicht in Applied soft computing (01.11.2020)“… The control of constrained nonlinear liquid level systems is a problem of fundamental importance in pharmaceutical, chemical, food-processing, oil refining and …”
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Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments
ISSN: 2075-1702, 2075-1702Veröffentlicht: Basel MDPI AG 01.04.2025Veröffentlicht in Machines (Basel) (01.04.2025)“… This paper introduces a multi-indicator heuristic evaluation-based rapidly exploring random tree (MIHE-RRT) algorithm to address the key challenges of robot …”
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Research on Unmanned Vehicle Path Planning Based on the Fusion of an Improved Rapidly Exploring Random Tree Algorithm and an Improved Dynamic Window Approach Algorithm
ISSN: 2032-6653, 2032-6653Veröffentlicht: Basel MDPI AG 01.07.2024Veröffentlicht in World electric vehicle journal (01.07.2024)“… Aiming at the problem that the traditional rapidly exploring random tree (RRT) algorithm only considers the global path of unmanned vehicles in a static …”
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Research on Path Planning of a Mining Inspection Robot in an Unstructured Environment Based on an Improved Rapidly Exploring Random Tree Algorithm
ISSN: 2076-3417, 2076-3417Veröffentlicht: Basel MDPI AG 01.07.2024Veröffentlicht in Applied sciences (01.07.2024)“… To ensure the safe production of mines, the intelligent trend of underground mining operations is gradually advancing. However, the operational environment of …”
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