Advances in Robot Programming by Demonstration

被引：24

作者：

Dillmann, Ruediger ^{[1
]}

Asfour, Tamim ^{[1
]}

Do, Martin ^{[1
]}

Jaekel, Rainer ^{[1
]}

Kasper, Alexander ^{[1
]}

Azad, Pedram ^{[1
]}

Ude, Ales ^{[2
]}

Schmidt-Rohr, Sven R. ^{[1
]}

Loesch, Martin ^{[1
]}

机构：

[1] Karlsruhe Inst Technol, Inst Anthropomat, Karlsruhe, Germany

[2] Jozef Stefan Inst, Dept Automat Biocybernet & Robot, Ljubljana, Slovenia

来源：

KUNSTLICHE INTELLIGENZ | 2010年 / 24卷 / 04期

关键词：

D O I：

10.1007/s13218-010-0060-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Robot Programming by Demonstration (PbD) has been dealt with in the literature as a promising way to teach robots new skills in an intuitive way. In this paper we describe our current work in the field toward the implementation of PbD system which allows robots to learn continuously from human observation, build generalized representations of human demonstration and apply such representations to new situations.

引用

页码：295 / 303

页数：9

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