Intelligent planning for large-scale multi-agent systems

被引：0
|
作者：
Ma, Hang [1 ]
机构：
[1] Simon Fraser Univ, Burnaby, BC, Canada
来源：
AI MAGAZINE | 2022年 / 43卷 / 04期
基金：
加拿大自然科学与工程研究理事会; 加拿大创新基金会;
关键词：
SEARCH;
D O I：
10.1002/aaai.12069
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article summarizes the New Faculty Highlights talk with the same title at AAAI 2021. Intelligent agents such as different types of robots will soon become an integral part of our daily lives. In real-world multi-agent systems, the most fundamental challenges are assigning tasks to multiple agents (task-level coordination problems) and planning collision-free paths for the agents to task locations (motion-level coordination problems). This article surveys four directions of our research on using intelligent planning techniques for the above multi-agent coordination problems. Link to video abstract:
引用
收藏
页码：376 / 382
页数：7
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