Forthcoming and Online First Articles

International Journal of Computing Science and Mathematics

International Journal of Computing Science and Mathematics (IJCSM)

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International Journal of Computing Science and Mathematics (One paper in press)

Regular Issues

  • Research on the Motion Trajectory of Wheel Differential Robot based on Kalman Filter   Order a copy of this article
    by Yunfei Huang, Yubin Zhang, Qiaoling Lu, Jianhui Deng, Zhengyang Xiao, Junxi Liang, Ke Wende 
    Abstract: the wheeled differential robot is widely used in the field of robotics for it adopts four-wheel driven differential steering, turns in place with strong power, is good in climbing, sudden starting, and accelerations. In robot motion trajectory planning, due to the problems of noise and sensor data uncertainty, it is difficult to accurately achieve the target position based on the preset motion speed and position. To address this issue, the motion model of the differential vehicle robot was analyzed as well as the relationship of position and velocity, the two-level control architecture and PID (proportional, integral, derivative) were analyzed. Through the encoder, the current velocity and position were obtained. Finally, the Kalman filtering was used to achieve the accurate trajectory of the robot. The effectiveness of the method was verified through simulating experiments.
    Keywords: wheeled differential robot; optimization; noise; trajectory.
    DOI: 10.1504/IJCSM.2025.10072255