Optimal Multi-robot Task Planning: from Synthesis to Execution (and Back)

被引：0
|
作者：
Leofante, Francesco [1 ,2 ]
机构：
[1] Rhein Westfal TH Aachen, Aachen, Germany
[2] Univ Genoa, Genoa, Italy
来源：
PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2018年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Integrated task planning and execution is a challenging problem with several applications in AI and robotics. In this work we consider the problem of generating and executing optimal plans for multirobot systems under temporal and ordering constraints. More specifically, we propose an approach that unites the power of Optimization Modulo Theories with the flexibility of an on-line executive, providing optimal solutions for task planning, and runtime feedback on their execution.
引用
收藏
页码：5771 / 5772
页数：2
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