Editorial: Supervision, control and learning for intelligent robot systems

被引：0

作者：

Lima, Pedro U. ^{[1
]}

Iocchi, Luca ^{[2
]}

机构：

[1] Inst Super Tecn ISR, Lab Robot & Engn Syst LARSyS, Lisbon, Portugal

[2] Sapienza Univ Rome, Dept Comp Control & Management Engn, Rome, Italy

来源：

FRONTIERS IN ROBOTICS AND AI | 2022年 / 9卷

关键词：

robot control; artificial intelligence; reinforcement learning; formal methods; task planning;

D O I：

10.3389/frobt.2022.1050237

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

引用

页数：2

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