Parallel Quantum Rapidly-Exploring Random Trees by Paul Lathrop, Beth Boardman, Sonia Martinez

“…In this paper, we present the Parallel Quantum Rapidly-Exploring Random Tree (Pq-RRT) algorithm, a parallel version of the Quantum Rapidly-Exploring Random Trees (q-RRT) algorithm. …”
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Optimal Bidirectional Rapidly-Exploring Random Trees by Jordan, Matthew, Perez, Alejandro

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Efficient Path Planning for a Microrobot Passing through Environments with Narrow Passages by Cheng-Ming Huang, Shu-Hsien Hsu

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Robotic path planning using rapidly-exploring random trees by Sherwani, Fahad

“…This study concerns the implementation of Rapidly-Exploring Random Trees (RRTs) algorithm for an autonomous robot path planning. …”
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Improved rapidly exploring random tree using salp swarm algorithm by Muhsen Dena Kadhim, Raheem Firas Abdulrazzaq, Sadiq Ahmed T.

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Efficient Path Planning Based on Dynamic Bridging Rapidly Exploring Random Tree by Shulei Qiu, Baoquan Li, Ruiyang Tong, Xiaojing He, Chuanjing Tang

“…This paper propounds an innovative path planning strategy, termed Dynamic Bridging Rapidly Exploring Random Tree (DBR-RRT), which endeavors to enable safe and expedited path navigation. …”
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Research on Risk Detection of Autonomous Vehicle Based on Rapidly-Exploring Random Tree by Yincong Ma, Kit Guan Lim, Min Keng Tan, Helen Sin Ee Chuo, Ali Farzamnia, Kenneth Tze Kin Teo

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Simplified and Smoothed Rapidly-Exploring Random Tree Algorithm for Robot Path Planning by Ayhan Gültekin, Samet Diri, Yaşar Becerikli

“…Rapidly-exploring Random Tree (RRT) is a prominent algorithm with quite successful results in achieving the optimal solution used to solve robot path planning problems. …”
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Bounds on tracking error using closed-loop rapidly-exploring random trees by Luders, Brandon Douglas, Karaman, Sertac, Frazzoli, Emilio, How, Jonathan P.

“…This paper considers the real-time motion planning problem for autonomous systems subject to complex dynamics, constraints, and uncertainty. Rapidly-exploring random trees (RRT) can be used to efficiently construct trees of dynamically feasible trajectories; however, to ensure feasibility, it is critical that the system actually track its predicted trajectory. …”
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Research on risk detection of autonomous vehicle based on rapidly-exploring random tree by Yincong Ma, Lim, Kit Guan, Tan, Min Keng, Sin, Helen Ee Chuo, Ali Farzamnia, Tze, Kenneth Kin Teo

“…In order to solve these problems, an automotive vehicle-based rapid exploration random tree (AV-RRT)-based non-particle path planning method for autonomous vehicles is proposed. …”
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A Dynamic Path Planning Method for Social Robots in the Home Environment by Chen Zhang, Lelai Zhou, Yibin Li, Yong Fan

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Rapidly Exploring Random Tree Algorithm-Based Path Planning for Worm-Like Robot by Yifan Wang, Prathamesh Pandit, Akhil Kandhari, Zehao Liu, Kathryn A. Daltorio

“…In this paper, we evaluate rapidly exploring random tree (RRT) algorithms for path planning in worm-like robots. …”
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Autonomous Rear Parking via Rapidly Exploring Random-Tree-Based Reinforcement Learning by Saugat Shahi, Heoncheol Lee

“…This paper proposes an efficient ARP method that consists of the following five components: (1) OpenAI Gym environment for training the reinforcement learning agent, (2) path planning based on rapidly exploring random trees, (3) path following based on model predictive control, (4) reinforcement learning based on the Markov decision process, and (5) travel length estimation between the start and the goal points. …”
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A survey of path planning of industrial robots based on rapidly exploring random trees by Sha Luo, Mingyue Zhang, Yongbo Zhuang, Cheng Ma, Qingdang Li

“…And owing to the probabilistic completeness, we review the rapidly-exploring random tree (RRT) algorithm which is widely used in the path planning of industrial robots. …”
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Modeling UAV swarm flight trajectories using Rapidly-exploring Random Tree algorithm by Jan M. Kelner, Wojciech Burzynski, Wojciech Stecz

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Information-rich Path Planning with General Constraints using Rapidly-exploring Random Trees by Levine, Daniel S., Luders, Brandon Douglas, How, Jonathan P.

“…This paper introduces the Information-rich Rapidly-exploring Random Tree (IRRT), an extension of the RRT algorithm that embeds information collection as predicted using Fisher Information Matrices. …”
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Dubins Path-Oriented Rapidly Exploring Random Tree* for Three-Dimensional Path Planning of Unmanned Aerial Vehicles by Youyoung Yang, Henzeh Leeghim, Donghoon Kim

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Double-Layer RRT* Objective Bias Anytime Motion Planning Algorithm by Hamada Esmaiel, Guolin Zhao, Zeyad A. H. Qasem, Jie Qi, Haixin Sun

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LAC-RRT: Constrained Rapidly-Exploring Random Tree With Configuration Transfer Models for Motion Planning by Chi-Kai Ho, Chung-Ta King

“…In this paper, we propose the Learning-Assisted Constrained Rapidly-Exploring Random Tree (LAC-RRT) algorithm, which employs self-supervised learning to train a model that can directly convert any sampled configuration to a new and valid configuration using feature values constrained by the imposed equality constraints, avoiding the need for iterative optimizations. …”
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Development of an Improved Rapidly Exploring Random Trees Algorithm for Static Obstacle Avoidance in Autonomous Vehicles by S. M. Yang, Y. A. Lin

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