Search Results - (( motion destinations _ algorithm ) OR ( spider optimisation based algorithm ))

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    A Fuzzy Logic Positional-Based Controller For Sensorbased Robotic Motion Planning by Khaksar W., Yousefi M., Saharia K.S.M., Ismail F.B.

    Published 2023
    “…Despite the large volume of research in this field, the computational complexity of the motion planning and the increasing potential application domains require more accurate and efficient motion planning algorithms. …”
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    The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm by Nurul Aimi Munirah, ., Muhammad Akmal, Remli, Noorlin, Mohd Ali, Hui, Wen Nies, Mohd Saberi, Mohamad, Khairul Nizar Syazwan, Wan Salihin Wong

    Published 2020
    “…Therefore, this paper proposed a Black Widow Optimisation (BWO) algorithm inspired by the bizarre mating behaviour of a spider as the method to use to solve the problem. …”
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    Command shaping control of a crane system by King, Shyang Sien

    Published 2006
    “…First of all, the equations of motion of the gantry crane system are derived by using Lagrangian approach. …”
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    Motion detection and simulation study on human walking behavior by Loon, Cheong Wai

    Published 2012
    “…The objective of this project is to analyse the human walking behaviour from video data, and develop an algorithm for human walking behaviour and emergency evacuation simulatioy The motion detection system were developed using Video and Image Processing Blockset in MAT LAB to collect the centroid coordinate of the pedestrians from the video to analyse the human walking behaviour. …”
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    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

    Published 2017
    “…It is necessary that the trajectory to the robots’ destination be calculated online, and throughout motion, to enable the robot to respond to variations within the environment. …”
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    Object Isolation In A Random Environment Using Manipulation Primitives Approach by Quah, Jit Shen

    Published 2019
    “…This research proposes three novel algorithms on a robot to plot out the position for each unwanted objects and its destined position as well as its trajectory and then utilizes manipulation primitives (pushing motion) to move said object along the planned trajectory. …”
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    Trajectory Tracking Of A Mobile Robot System by Md Ghazaly, Mariam, Abdullah, Zulkeflee, Md Ali, Mohd Amran, Che Amran, Aliza, Chong, Shin Horng

    Published 2017
    “…In conclusion, the experimental results show that the mobile robot able to reach the target destination successfully without the collision with obstacles, for different types of trajectory patterns using the masking tape width of 18mm with the develop algorithm.…”
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    Trajectory tracking of a mobile robot system / Mariam Md Ghazaly...[et al.] by Md Ghazaly, Mariam, Soo, Kok Yew, Abdullah, Zulkeflee, Mohd Ali, Mohd Amran, Chong, Shin Horng, Che Amran, Aliza

    Published 2017
    “…In conclusion, the experimental results show that the mobile robot able to reach the target destination successfully without the collision with obstacles, for different types of trajectory patterns using the masking tape width of 18mm with the develop algorithm.…”
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    Efficient Object Isolation In Complex Environment Using Manipulation Primitive On A Vision Based Mobile 6DOF Robotic Arm by Mohd Annuar, Khalil Azha, Fahmi, Muhammad, Quah, Jit Shen

    Published 2018
    “…This paper explores the idea of manipulation aided- perception in the context of isolating an object of interest from other small objects of varying degree of clusterization in order to obtain high quality training images.The robot utilizes a novel algorithm to plot out the position for each noise objects and its destined position as well as its trajectory and then utilizes manipulation primitives (pushing motion) to move said object along the planned trajectory.The method was demonstrated using Vrep simulation software which simulated a Kuka YouBot fitted with a camera on the gripper.We evaluated our approach by simulating the robot manipulators in an experiment which successfully isolate the object of interest from noise objects with at a rate of 77.46% at an average of 0.56 manipulations per object compared to others at 1.76 manipulations subsequently speeding up the time taken for manipulation from 12.58 minutes to 2.6 minutes however suffers from a tradeoff in terms of accuracy when comparing the similar works to our proposed method.…”
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