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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  2. 2
    Development of mobile robot and localization system

    Development of mobile robot and localization system by Juhari, Khairul Anuar

    Published 2014
    “…Thus, the research involves designing an indoor mobile robot and creating algorithm for the mobile robot to localize. …”
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  3. 3
    Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots

    Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots by Hanafi Ahmad Hijazi, Patricia Anthony

    Published 2006
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    Research Report
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  4. 4
    Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space

    Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space by Zahari, Ammar, Ismail , Amelia Ritahani, Desia, Recky

    Published 2015
    “…A simulated robot in a simulated environment is used to test the algorithm that is to be developed. …”
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  5. 5
    Autonomous path planning robot using geographical information

    Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

    Published 2008
    “…The simulation analysis is performed to prove the effectiveness and robustness of the guidance algorithm for the mobile robot. …”
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    Learning Object
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  6. 6
    Development of behavior-based reactive navigation system for mobile robot

    Development of behavior-based reactive navigation system for mobile robot by Mohd Hamami, Mohd Ghazali

    Published 2013
    “…To solve the problems and achieve the above objective, a new behavior-based reactive navigation system for mobile robots is developed. The motions of Pioneer 3TM mobile robot were simulated to show the developed algorithm performance. …”
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  7. 7
    Dynamic path planning algorithm in mobile robot navigation

    Dynamic path planning algorithm in mobile robot navigation by Yun, S.C., Parasuraman, S., Ganapathy, V.

    Published 2011
    “…MATLAB simulation is developed to verify and validate the algorithm before they are real time implemented on Team AmigoBotTM robot. …”
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  8. 8
    A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance

    A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance by Muhammad, Aisha, Ali, Mohammed A.H., Turaev, Sherzod, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Shanono, Ibrahim Haruna, Alzaid, Zaid, Alruban, Abdulrahman, Alabdan, Rana, Dutta, Ashit Kumar, Almotairi, Sultan

    Published 2022
    “…This paper aims to develop a new mobile robot path planning algorithm, called generalized laser simulator (GLS), for navigating autonomously mobile robots in the presence of static and dynamic obstacles. …”
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  9. 9
    Smart and energy aware routing for the internet of mobile things

    Smart and energy aware routing for the internet of mobile things by Beh, Zi Xuan

    Published 2021
    “…The routing algorithm are developed and coded in Sen Script. In this project, the routing algorithm can perform disqualify node detection and energy aware routing. …”
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    Final Year Project / Dissertation / Thesis
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  10. 10
    Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots

    Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots by Hanafi Ahmad Hijazi, Patricia Anthony

    Published 2006
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  11. 11
    Discrete simulation framework for wireless cellular networks.

    Discrete simulation framework for wireless cellular networks. by Al-Sanabani, Maher Ali, K. Subramaniam, Shamala, Othman, Mohamed, Ahmad Zulkarnain, Zuriati

    Published 2008
    “…The performance of the developed simulator compared with the performance characteristics of existing algorithms. …”
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  12. 12
    Simulation and Design of an Intelligent Mobile Robot for Fire Fighting

    Simulation and Design of an Intelligent Mobile Robot for Fire Fighting by Chor, Keong Seng

    Published 2003
    “…A fuzzy base computer animation in virtual reality is developed to simulate a simple in-door environment for fire fighting purpose and a systematic implementation of real-time simulation of the mobile robot is presented. …”
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  13. 13
    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In order to further test the algorithm robustness, it is then implemented in mobile robot obstacle avoidance simulation in complex environment. …”
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  14. 14
    Simulation of multiple mobile robots using JMonkey Engine

    Simulation of multiple mobile robots using JMonkey Engine by Tang, Shuen Cherng

    Published 2016
    “…The project consists of two parts whereby the main part is to develop a server-clients networked multiple mobile robot simulations. …”
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    Undergraduates Project Papers
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  15. 15
    Development of robust control scheme for wheeled mobile robot in restricted environment

    Development of robust control scheme for wheeled mobile robot in restricted environment by Muhammad Sawal, A Radzak

    Published 2021
    “…A novel algorithm so called laser simulator logic (LSL) has been develo ped to estimate the inertia moment when the environment is noisy and cannot use fuzzy logic algorithm. …”
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  16. 16
    Path planning for constant speed robot

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

    Published 2006
    “…The simulation analysis is performed to prove the effectiveness and robustness of the guidance algorithm for the mobile robot. …”
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  17. 17
    Global Mobile Robot Path Planning using Laser Simulator

    Global Mobile Robot Path Planning using Laser Simulator by Ali, Mohammed A. H., Wan Azhar, Wan Yusoff, Zamzuri, Hamedon, Zulkifli, Md. Yusof, Musa, Mailah

    Published 2017
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  18. 18
    Novel algorithm for mobile robot path planning in constrained environment

    Novel algorithm for mobile robot path planning in constrained environment by Muhammad, Aisha, Ali, Mohammed A. H., Turaev, Sherzod, Shanono, Ibrahim Haruna, Hujainah, Fadhl, Mohd Zubir, Mohd Nashrul, Faiz, Muhammad Khairi, Mohd Faizal, Erma Rahayu, Abdulghafor, Rawad Abdulkhaleq Abdulmolla

    Published 2021
    “…This paper presents a development of a novel path planning algorithm, called Generalized Laser simulator (GLS), for solving the mobile robot path planning problem in a two-dimensional map with the presence of constraints. …”
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  19. 19
    Mobile machine vision for railway surveillance system using deep learning algorithm

    Mobile machine vision for railway surveillance system using deep learning algorithm by Kit, Guan Lim, Daniel Siruno, Min, Keng Tan, Chung, Fan Liau, Sha, Huang, Tze, Kenneth Kin Teo

    Published 2021
    “…In this paper, object detection model is developed and implemented with deep learning algorithm. …”
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    Proceedings
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  20. 20
    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique

    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique by Kiong T.S., Ismail M., Hassan A.

    Published 2023
    “…A dynamic radio network simulator was developed in Visual C++� to study the power consumption at Node B and estimate the downlink capacity improvement by implementing this novel algorithm. …”
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