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  1. 1

    Path planning for unmanned aerial vehicles using visibility line-based methods by Omar, Rosli

    Published 2011
    “…The proposed 2D path planning algorithms, on the contrary, select a relatively smaller number of vertices using the so-called base line (BL), thus they are computationally efficient. …”
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    Thesis
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    Indoor global path planning based on critical cells using dijkstra algorithm by Azrul Amri, Jamal, Engku Fadzli Hasan, Syed Abdullah, Fatma Susilawati, Mohamad

    Published 2015
    “…This paper proposes global path planning based on grids representation in an indoor environment using Dijkstra algorithm. …”
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    Article
  3. 3

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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    Thesis
  4. 4

    Path planning for constant speed robot by Abdullah @ Idris, Ahmad Takiyuddin

    Published 2006
    “…The development of the path planning algorithm is initially presented by the geometrical analysis and it is then analyzed by simulation using Matlab. …”
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    Thesis
  5. 5

    Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

    Published 2008
    “…The development of the path planning algorithm is initially presented by the geometrical analysis and it is then analyzed by simulation using Matlab. …”
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    Learning Object
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    The effect of dose calculation algorithms on the normal tissue complication probability values of thoracic cancer by Ahmad, Noor Ashikin

    Published 2015
    “…NTCP values for thorax plan one and two are evaluated by using different algorithm. …”
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    Monograph
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    The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment by Kok, Kai Yit

    Published 2016
    “…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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    Thesis
  9. 9

    Implementation of Graph Based Path Planning Algorithms on a Mobile Robot in a Confined Site by TANG, HON PANN

    Published 2017
    “…This project investigates the performance of three different graph based path planning algorithms used, relaxed A*, A* and Dijkstra’s algorithm in a few environments with different obstacles settings using Gazebo environment simulator and Turtlebot simulator (computer simulation) and 4WD navigation robot (real environment simulation).…”
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    Final Year Project
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    Hybrid path planning for indoor robot with Laplacian Behaviour-based control via four point-explicit group by Azali Saudi, Jumat Sulaiman

    Published 2014
    “…In this paper, a robust searching algorithm to generate path planning for mobile robot is proposed. …”
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    Article
  14. 14

    An integration of AHP-ACO technique for social interaction and travel planning by Peh, Perly Thai Ee

    Published 2016
    “…Thus, the objectives of this research is to integrate the place recommendation based on profile preference using Analytic Hierarchy Process (AHP) method and route planning using ACO method. …”
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    Thesis
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    An assembly sequence planning approach with a rule-based multi-state gravitational search algorithm by Ibrahim, I., Ibrahim, Z., Ahmad, Hamzah, Jusof, M.F.M., Yusof, Z.M., Nawawi, S.W., Mubin, M.

    Published 2015
    “…In this paper, an approach based on a new variant of the gravitational search algorithm (GSA) called the rule-based multi-state gravitational search algorithm (RBMSGSA) is used to solve the assembly sequence planning problem. …”
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    Article
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    A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning. by Rajendran, Piraviendran, Othman, Muhaini

    Published 2024
    “…Objectives include analyzing features of mobile robot planning and representing them in ACO and GA, implementation ACO and GA algorithms for solving routing problems using dataset, and evaluating their performance. …”
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    Conference or Workshop Item
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    Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system by Khaksar, Weria, Tang, Sai Hong, Mohamed Sahari, Khairul Salleh, Khaksar, Mansoor, Toressen, Jim

    Published 2019
    “…Despite the proven advantages of sampling-based motion planning algorithms, their inability to handle online navigation tasks and providing low-cost solutions make them less efficient in practice. …”
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    Article
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