Search Results - "Sampling-Based Algorithms"

Refine Results
  1. 1

    Motion planning for robotics: A review for sampling-based planners by Zhang, Liding, Cai, Kuanqi, Sun, Zewei, Bing, Zhenshan, Wang, Chaoqun, Figueredo, Luis, Haddadin, Sami, Knoll, Alois

    ISSN: 2667-3797
    Published: Elsevier B.V 01.03.2025
    Published in Biomimetic intelligence and robotics (01.03.2025)
    “…Recent advancements in robotics have transformed industries such as manufacturing, logistics, surgery, and planetary exploration. A key challenge is developing…”
    Get full text
    Journal Article
  2. 2

    PQ-RRT: An improved path planning algorithm for mobile robots by Li, Yanjie, Wei, Wu, Gao, Yong, Wang, Dongliang, Fan, Zhun

    ISSN: 0957-4174, 1873-6793
    Published: New York Elsevier Ltd 15.08.2020
    Published in Expert systems with applications (15.08.2020)
    “…•Propose a sampling-based asymptotically optimal path planning algorithm.•The proposed algorithm guarantees a fast convergence rate.•Theoretical proof of…”
    Get full text
    Journal Article
  3. 3

    Quick-RRT: Triangular inequality-based implementation of RRT with improved initial solution and convergence rate by Jeong, In-Bae, Lee, Seung-Jae, Kim, Jong-Hwan

    ISSN: 0957-4174, 1873-6793
    Published: New York Elsevier Ltd 01.06.2019
    Published in Expert systems with applications (01.06.2019)
    “…•Sampling-based algorithms are commonly used in motion planning problems.•The RRT* algorithm incrementally builds a tree of motion to find a solution.•Taking a…”
    Get full text
    Journal Article
  4. 4

    F-RRT: An improved path planning algorithm with improved initial solution and convergence rate by Liao, Bin, Wan, Fangyi, Hua, Yi, Ma, Ruirui, Zhu, Shenrui, Qing, Xinlin

    ISSN: 0957-4174, 1873-6793
    Published: New York Elsevier Ltd 01.12.2021
    Published in Expert systems with applications (01.12.2021)
    “…•A tree-extending algorithm for reducing the solution cost is presented.•Generating nodes essential to the optimal path with smaller samples.•Searching for…”
    Get full text
    Journal Article
  5. 5

    Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments by Qureshi, Ahmed Hussain, Ayaz, Yasar

    ISSN: 0921-8890, 1872-793X
    Published: Elsevier B.V 01.06.2015
    Published in Robotics and autonomous systems (01.06.2015)
    “…The sampling-based motion planning algorithm known as Rapidly-exploring Random Trees (RRT) has gained the attention of many researchers due to their…”
    Get full text
    Journal Article
  6. 6

    CCPF-RRT: An improved path planning algorithm with consideration of congestion by Liang, Yan-ming, Zhao, Hai-yang

    ISSN: 0957-4174, 1873-6793
    Published: Elsevier Ltd 15.10.2023
    Published in Expert systems with applications (15.10.2023)
    “…Path planning is essential for robots to efficiently execute jobs in challenging settings. In this paper, we propose a new algorithm, called potential…”
    Get full text
    Journal Article
  7. 7

    Density gradient-RRT: An improved rapidly exploring random tree algorithm for UAV path planning by Huang, Tai, Fan, Kuangang, Sun, Wen

    ISSN: 0957-4174, 1873-6793
    Published: Elsevier Ltd 15.10.2024
    Published 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…”
    Get full text
    Journal Article
  8. 8

    Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms by Andrés, Eduardo, González-Arribas, Daniel, Soler, Manuel, Kamgarpour, Maryam, Sanjurjo-Rivo, Manuel

    ISSN: 0968-090X, 1879-2359
    Published: Elsevier Ltd 01.08.2021
    “…Thunderstorms represent a major hazard for flights, as they compromise the safety of both the airframe and the passengers. To address trajectory planning under…”
    Get full text
    Journal Article
  9. 9

    Classified-RRT: Node classification RRT-based algorithm with improved solution performance and convergence rate by Xiong, Zhihua, Hou, Wenbin, Wang, Changsheng, Chen, Hao

    ISSN: 0957-4174
    Published: Elsevier Ltd 15.01.2026
    Published in Expert systems with applications (15.01.2026)
    “…Path planning is essential for ensuring the safe and efficient operation of robots. Among various path planning algorithms, Rapidly-exploring Random Tree (RRT)…”
    Get full text
    Journal Article
  10. 10

    Neural Network Approximation Based Near-Optimal Motion Planning With Kinodynamic Constraints Using RRT by Li, Yang, Cui, Rongxin, Li, Zhijun, Xu, Demin

    ISSN: 0278-0046, 1557-9948
    Published: New York IEEE 01.11.2018
    “…In this paper, the problem of near-optimal motion planning for vehicles with nonlinear dynamics in a clustered environment is considered. Based on rapidly…”
    Get full text
    Journal Article
  11. 11

    Potential functions based sampling heuristic for optimal path planning by Qureshi, Ahmed Hussain, Ayaz, Yasar

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.08.2016
    Published in Autonomous robots (01.08.2016)
    “…Rapidly-exploring Random Tree star (RRT*) is a recently proposed extension of Rapidly-exploring Random Tree (RRT) algorithm that provides a collision-free,…”
    Get full text
    Journal Article
  12. 12

    ATS-RRT: an improved RRT algorithm based on alternative paths and triangular area sampling by Zhang, Zhi-wei, Jia, Yun-wei, Su, Qi-qi, Chen, Xiao-tong, Fu, Bang-peng

    ISSN: 0169-1864, 1568-5535
    Published: Taylor & Francis 19.05.2023
    Published in Advanced robotics (19.05.2023)
    “…The Rapidly Exploring Random Tree Star (RRT*) is a probabilistically complete algorithm. It is recognized as a better path planning algorithm, but its path…”
    Get full text
    Journal Article
  13. 13

    CDRT-RRT: Real-time rapidly exploring Random Tree Star based on convex dissection by Liu, Jinyuan, Fu, Minglei, Zhang, Wenan, Chen, Bo, Sychou, Uladzislau, Belotserkovsky, Alexei

    ISSN: 0957-4174
    Published: Elsevier Ltd 05.04.2025
    Published in Expert systems with applications (05.04.2025)
    “…This study presents CDRT-RRT*, an algorithm for rapid real-time path planning in N-dimensional Euclidean spaces, based on convex dissection. CDRT-RRT*…”
    Get full text
    Journal Article
  14. 14

    Cyl-IRRT: Homotopy Optimal 3D Path Planning for AUVs by Biasing the Sampling Into a Cylindrical Informed Subset by Yu, Fujie, Chen, Yuan

    ISSN: 0278-0046, 1557-9948
    Published: New York IEEE 01.04.2023
    “…In a complex 3-D environment, efficiently and safely reaching the target position is of great significance for autonomous underwater vehicles. This article…”
    Get full text
    Journal Article
  15. 15
  16. 16

    HB-RRT:A path planning algorithm for mobile robots using Halton sequence-based rapidly-exploring random tree by Zhong, Huageng, Cong, Ming, Wang, Minghao, Du, Yu, Liu, Dong

    ISSN: 0952-1976, 1873-6769
    Published: Elsevier Ltd 01.07.2024
    “…Path planning remains crucial for efficient robot operation. A Halton Biased Rapidly-exploring Random Tree (HB-RRT) path planning algorithm is introduced in…”
    Get full text
    Journal Article
  17. 17

    FHQ-RRT: An Improved Path Planning Algorithm for Mobile Robots to Acquire High-Quality Paths Faster by Dong, Xingxiang, Wang, Yujun, Fang, Can, Ran, Kemeng, Liu, Guohui

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 30.03.2025
    Published in Sensors (Basel, Switzerland) (30.03.2025)
    “…The Rapidly-exploring Random Tree Star (RRT*) algorithm, widely utilized for path planning, faces challenges, such as slow acquisition of feasible paths and…”
    Get full text
    Journal Article
  18. 18

    An Overview and Comparison of Traditional Motion Planning Based on Rapidly Exploring Random Trees by Chu, Yang, Chen, Quanlin, Yan, Xuefeng

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 26.03.2025
    Published in Sensors (Basel, Switzerland) (26.03.2025)
    “…Motion planning is a fundamental problem in robotics that involves determining feasible or optimal paths within finite time. While complete motion planning…”
    Get full text
    Journal Article
  19. 19

    An adaptive bidirectional quick optimal Rapidly-exploring Random Tree algorithm for path planning by Huang, Zhuo, Gao, Yang, Guo, Jian, Qian, Chen, Chen, Qingwei

    ISSN: 0952-1976, 1873-6769
    Published: Elsevier Ltd 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),…”
    Get full text
    Journal Article
  20. 20

    QS ‐ RRT : An Improved Path Planning Algorithm with Goal‐Biased Strategy by Luo, Jie, Zhang, Xu, Tu, Dawei

    ISSN: 1931-4973, 1931-4981
    Published: 31.10.2025
    “…The rapidly‐exploring Random Tree (RRT) algorithm, based on sampling, is a popular algorithm for path planning problems. The optimal RRT (RRT*) is an extension…”
    Get full text
    Journal Article