A Strategical Path Planner for UGV-UAV Cooperation in Mars Terrains

被引:1
|
作者
Ropero, Fernando [1 ]
Munoz, Pablo [1 ]
R-Moreno, Maria D. [1 ]
机构
[1] Univ Alcala, Comp Engn Dept, Alcala De Henares 28871, Spain
来源
关键词
Planning and scheduling; Intelligent agents; Distributed AI algorithms; Systems and applications; SURVEILLANCE; ALGORITHM; AERIAL; SYSTEM;
D O I
10.1007/978-3-030-04191-5_8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mars exploration is an ongoing researching topic mainly due to the technological breakthroughs in robotic platforms. Space agencies as NASA, are considering future Mars explorations where multi-robot teams cooperate to maximize the scientific return. In this regard, we present a cooperative team formed by a Unmanned Aerial Vehicle (UAV) and a Unmanned Ground Vehicle (UGV) to autonomously perform a Mars exploration. We develop a strategical path planner to compute a route plan for the UGV-UAV team to reach all the target points of the exploration. The key problems that we have considered in Mars explorations for the UGV-UAV team are: the UAV energy constraints and the UGV functionality constraints. Our strategical path planner models the UGV as a moving charging station which will carry the UAV through secure locations close to the target points locations, and the UAV will visit the target points using the UGV as a recharging station. Our solution has been tested in several scenarios and the results demonstrate that our approach is able to carry out a coordinated plan in a local optimal mission time on a real Mars terrain.
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页码:106 / 118
页数:13
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