Articles | Volume 16, issue 1
https://doi.org/10.5194/ms-16-1-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Research on automated guided vehicle (AGV) path tracking control based on laser simultaneous localization and mapping (SLAM)
Cited articles
Hu, H. T., Yang, X. R., Xiao, S. C., and Wang, F. Y.: Anti-conflict AGV path planning in automated container terminals based on multi-agent reinforcement learning, Int J. Prod Res., 61, 65–80, https://doi.org/10.1080/00207543.2021.1998695, 2023.
Hu, Y. J., Xie, F., Yang, J. Q., Zhao, J., Mao, Q., Zhao, F., and Liu, X. X.: Efficient Path Planning Algorithm Based on Laser SLAM and an Optimized Visibility Graph for Robots, Remote Sens-Basel., 16, 2938–2938, https://doi.org/10.3390/RS16162938, 2024.
Li, J., Shi, C. H., Chen, J., Wang, R. S., Yang, Z. Y., Zhang, F., and Gong, J. H.: A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device, Int. J. Digit Earth., 15, 1929–1946, https://doi.org/10.1080/17538947.2022.2138591, 2022.
Li, Z. Y., Li, H. G., Liu, Y., Jin, L. Y., and Wang, C. Q.: Indoor fixed-point hovering control for UAVs based on visual inertial SLAM, Robot. Intell. Autom., 44, 648–657, https://doi.org/10.1108/RIA-06-2023-0081, 2024.
Liu, D.: A data association algorithm for SLAM based on central difference joint compatibility criterion and clustering, Robotica, 39, 1674–1691, https://doi.org/10.1017/S0263574720001435,2021.