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
收藏
页数：2
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