Manipulation Learning on Humanoid Robots

被引:3
作者
Andrej Gams
Tadej Petrič
Bojan Nemec
Aleš Ude
机构
[1] Jožef Stefan Institute,Department of Automatics, Biocybernetics and Robotics
[2] University of Ljubljana,Faculty of Electrical Engineering
来源
Current Robotics Reports | 2022年 / 3卷 / 3期
关键词
Robot learning; Humanoid robots; Robot manipulation; Autonomous learning;
D O I
10.1007/s43154-022-00082-9
中图分类号
学科分类号
摘要
引用
收藏
页码:97 / 109
页数:12
相关论文
共 214 条
[1]  
Kroemer O(2021)A review of robot learning for manipulation: challenges, representations, and algorithms J Mach Learn Res 22 1-82
[2]  
Niekum S(2021)A holistic approach to human-supervised humanoid robot operations in extreme environments Front Robot AI 8 148-29
[3]  
Konidaris G(2007)Challenges for robot manipulation in human environments [grand challenges of robotics] IEEE Robot Autom Mag 14 20-28
[4]  
Wonsick M(2018)Toward robotic manipulation Annu Rev Control Robot Autonom Syst 1 1-242
[5]  
Long P(2021)Toward next-generation learned robot manipulation Sci Robot 6 9461-108
[6]  
Önol AÖ(2021)A literature review of sensor heads for humanoid robots Robot Auton Syst 143 103834-721
[7]  
Wang M(1999)Is imitation learning the route to humanoid robots? Trends Cogn Sci 3 233-131
[8]  
Padir T(2004)Programming full-body movements for humanoid robots by observation Robot Auton Syst 47 93-830
[9]  
Kemp CC(2021)How to train your robot with deep reinforcement learning: lessons we have learned Int J Robot Res 40 698-298
[10]  
Edsinger A(2020)Robot skill learning in latent space of a deep autoencoder neural network Neural Netw 127 121-445