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  1. 1

    Path planning algorithm for a car like robot based on MILP method by Mohd Sadri, Mohd Pawzi

    Published 2013
    “…The proposed algorithm allows a mobile robot to navigate through static obstacles and finding the path in order to reach the target without collision. …”
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    Thesis
  2. 2
  3. 3

    Electroencephalogram signal interpretation system for mobile robot by Hasan, Intan Helina

    Published 2013
    “…Currently, the BCI application is to acquire signals from 32 to 64 electrodes’ recordings and translate them to a movement using various computing algorithm which can be used in wheelchair navigation, or control robot movements. …”
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    Thesis
  4. 4

    A Feasible Architecture Of Real-Time Collision Avoidance And Path Planning For Semi-Autonomous Unmanned Ground Vehicle (Ugv) by Subramaniam, Purawin

    Published 2018
    “…Vehicle navigation is based on point-to-point basis and the waypoints are set in Mission Planner software that works alongside APM. …”
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    Monograph
  5. 5

    Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

    Published 2021
    “…Potential actions must be taken based on prior experiences using a trial and error process. …”
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    Monograph
  6. 6

    A Compromise Programming to Task Assignment Problem in Software Development Project by Son, N.T., Jaafar, J., Aziz, I.A., Anh, B.N., Binh, H.D., Aftab, M.U.

    Published 2021
    “…To support the decision-maker to evaluate different decision strategies, we use compromise programming to transform multiobjective optimization (MOP) into a single-objective problem. …”
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    Article
  7. 7

    Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming by Saman, Abu Bakar Sayuti, Sebastian , Patrick, Malek, Nadhira, Hasidin, Nurul Zahidah

    Published 2012
    “…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. …”
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    Conference or Workshop Item
  8. 8

    MAZE ROBOT: APPLYING AUTONOMOUS VEHICLE NAVIGATION ALGORITHM WITH EVENT-DRIVEN PROGRAMMING by ABDUL MALEK, NADHIRA

    Published 2011
    “…Event-driven programming method was applied in producing the maze navigation algorithm for the robot.…”
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    Final Year Project
  9. 9

    Implementation of autonomous vehicle navigation algorithms using event-driven programming by Saman, Abu Bakar Sayuti, Sebastian , Patrick, Malek, Nadhira, Hasidin, Nurul Zahidah

    Published 2012
    “…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. …”
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    Conference or Workshop Item
  10. 10

    A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose by Azizan, Anis Natasha

    Published 2019
    “…Therefore, controller is used for navigation before and after approaching obstacles. …”
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    Monograph
  11. 11

    Vision-based robot indoor navigation by Teo, Zhin Hang

    Published 2022
    “…This project aims to develop a vision-based navigation robot using OpenCV and C++ programming language in an indoor environment. …”
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    Final Year Project / Dissertation / Thesis
  12. 12

    Implementation of an autonomous mobile robot navigation algorithm using C language by Subra Mullisi, Shafeq Marwan

    Published 2009
    “…After that, implement the navigation algorithm on the mobile robot and without using the external sensor for navigation of the mobile robot to reach the specified point. …”
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    Final Year Project
  13. 13

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
    “…Algorithms are developed for a simulated mobile robot that uses an array of range finders for navigation. …”
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    Monograph
  14. 14

    Indoor Navigation Algorithm For Mobile Robot by Y.M. Alkasim, Osman Mudthir Elfadil, Abass, Esra Bashir

    Published 2016
    “…Set of experiments presented to validate our system using MATLAB program. Testing verified that good accuracy, sufficient for navigation, was achieved. …”
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    Book Section
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    GPS boundary navigation of DrosoBots using MATLAB simulation by Zainal Abidin, Zulkifli, Ngah , Vmi Kalthum, Arshad, Mohd Rizal, Kok , Chee Hou

    Published 2010
    “…This paper presents the initial developmental stage of mini Autonomous Surface Vehicles (ASVs), which is to define the algorithm of boundary navigation for each of the ASV via programming and sensor networks. …”
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    Proceeding Paper
  17. 17

    PID controller for unmanned aerial vehicle in closed environment using fiducial marker systems by Amiri, Mohammad Soleimani, Ramli, Rizauddin, Zaidi, I. E., Van, Mien

    Published 2024
    “…The aim of this paper is to develop an autonomous navigation algorithm for a UAV using a tag-based visual system. …”
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    Article
  18. 18

    Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition by Reyfill Konnik, Charlie Ivan

    Published 2014
    “…This algorithm is designed using an iterative design model, whereby the program is continually tested and improved. …”
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    Final Year Project
  19. 19

    Indirect Feedback Kalman Filter Based Sensor Fusion for Reducing Navigation Errors of an Autonomous Wheelchair by Soh, Ying Wei

    Published 2018
    “…Fusion of the wheel encoders and gyroscope was effected using indirect feedback Kalman filter algorithm. …”
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    Final Year Project / Dissertation / Thesis
  20. 20

    Collision prediction based genetic network programming-reinforcement learning for mobile robot navigation in unknown dynamic environments by Findi, Ahmed H. M., Marhaban, Mohammad Hamiruce, Raja Ahmad, Raja Mohd Kamil, Hassan, Mohd Khair

    Published 2017
    “…The problem of determining a smooth and collision-free path with maximum possible speed for a Mobile Robot (MR) which is chasing a moving target in a dynamic environment is addressed in this paper. Genetic Network Programming with Reinforcement Learning (GNP-RL) has several important features over other evolutionary algorithms such as it combines offline and online learning on the one hand, and it combines diversified and intensified search on the other hand, but it was used in solving the problem of MR navigation in static environment only. …”
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    Article