Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information
In this paper, we propose a new learning algorithm, named as the Cooperative and Geometric Learning Algorithm (CGLA), to solve problems of maneuverability, collision avoidance and information sharing in path planning for Unmanned Aerial Vehicles (UAVs). The contributions of CGLA are three folds: (1)...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
Elsevier Ltd
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/13674 |
| _version_ | 1848748409202147328 |
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| author | Zhang, B. Liu, Wan-Quan Mao, Z. Liu, J. Shen, L. |
| author_facet | Zhang, B. Liu, Wan-Quan Mao, Z. Liu, J. Shen, L. |
| author_sort | Zhang, B. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we propose a new learning algorithm, named as the Cooperative and Geometric Learning Algorithm (CGLA), to solve problems of maneuverability, collision avoidance and information sharing in path planning for Unmanned Aerial Vehicles (UAVs). The contributions of CGLA are three folds: (1) CGLA is designed for path planning based on cooperation of multiple UAVs. Technically, CGLA exploits a new defined individual cost matrix, which leads to an efficient path planning algorithm for multiple UAVs. (2) The convergence of the proposed algorithm for calculating the cost matrix is proven theoretically, and the optimal path in terms of path length and risk measure from a starting point to a target point can be calculated in polynomial time. (3) In CGLA, the proposed individual weight matrix can be efficiently calculated and adaptively updated based on the geometric distance and risk information shared among UAVs. Finally, risk evaluation is introduced first time in this paper for UAV navigation and extensive computer simulation results validate the effectiveness and feasibility of CGLA for safe navigation of multiple UAVs. |
| first_indexed | 2025-11-14T07:04:35Z |
| format | Conference Paper |
| id | curtin-20.500.11937-13674 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:04:35Z |
| publishDate | 2014 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-136742017-09-13T15:01:03Z Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information Zhang, B. Liu, Wan-Quan Mao, Z. Liu, J. Shen, L. In this paper, we propose a new learning algorithm, named as the Cooperative and Geometric Learning Algorithm (CGLA), to solve problems of maneuverability, collision avoidance and information sharing in path planning for Unmanned Aerial Vehicles (UAVs). The contributions of CGLA are three folds: (1) CGLA is designed for path planning based on cooperation of multiple UAVs. Technically, CGLA exploits a new defined individual cost matrix, which leads to an efficient path planning algorithm for multiple UAVs. (2) The convergence of the proposed algorithm for calculating the cost matrix is proven theoretically, and the optimal path in terms of path length and risk measure from a starting point to a target point can be calculated in polynomial time. (3) In CGLA, the proposed individual weight matrix can be efficiently calculated and adaptively updated based on the geometric distance and risk information shared among UAVs. Finally, risk evaluation is introduced first time in this paper for UAV navigation and extensive computer simulation results validate the effectiveness and feasibility of CGLA for safe navigation of multiple UAVs. 2014 Conference Paper http://hdl.handle.net/20.500.11937/13674 10.1016/j.automatica.2013.12.035 Elsevier Ltd restricted |
| spellingShingle | Zhang, B. Liu, Wan-Quan Mao, Z. Liu, J. Shen, L. Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information |
| title | Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information |
| title_full | Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information |
| title_fullStr | Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information |
| title_full_unstemmed | Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information |
| title_short | Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information |
| title_sort | cooperative and geometric learning algorithm (cgla) for path planning of uavs with limited information |
| url | http://hdl.handle.net/20.500.11937/13674 |