Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ying-Ze Mu"'
Publikováno v:
Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence.
When an AGV (Automated Guided Vehicle) performs navigation tasks, it needs to run the path planning algorithm to obtain an optimal path in a current environment. In this paper, Dijkstra algorithm and A*algorithm with different heuristic functions are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b47aefb00d32a42bb8c7132acd875a32
https://doi.org/10.1145/3409501.3409524
https://doi.org/10.1145/3409501.3409524
Autor:
Yongsheng Qi, Peng Zhou, Bo-Chen Li, Qi-Ming Chen, Chen Xiaoyan, Ying-Ze Mu, Fan Zhiqiang, Wang Qilai, Dong Chaoyi
Publikováno v:
2020 39th Chinese Control Conference (CCC).
The modeling accuracy of an AGV (Automated Guided Vehicle) mathematical model is a crucial factor affecting the control accuracy of the AGV. Traditional AGVs are usually controlled by PID control algorithms when the system structures are unknown. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21c58dbf91b4e953c204bebc9ba0de5b
https://doi.org/10.23919/ccc50068.2020.9189113
https://doi.org/10.23919/ccc50068.2020.9189113
Publikováno v:
2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE).
Aiming at the problems of the traditional Particle Filter (PF) algorithm used in robot localization technology, for example, large computational expense, poor real-time performance, and limited positioning accuracy, an IPF-SLAM (Improved Particle Fil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2b184827168f75b4229ee2a73e55afb
https://doi.org/10.1109/iccsse50399.2020.9171985
https://doi.org/10.1109/iccsse50399.2020.9171985
Publikováno v:
ICCAI
The realization of mobile robots' autonomous positioning and map constructing in unknown environments is crucial for the robots' obstacle avoidance and path planning. In this paper, an improved ORB (Oriented fast and Rotated Brief)-SLAM2 (Simultaneou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b6cd33c7d0345ae6769d3dc45675e76
https://doi.org/10.1145/3404555.3404589
https://doi.org/10.1145/3404555.3404589