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» Learning Behaviors Models for Robot Execution Control
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ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
15 years 8 months ago
Intrinsically motivated hierarchical manipulation
— We present a framework for the programming of manipulation behavior by means of an intrinsic reward function that encourages the building of deep control knowledge. We show how...
Stephen Hart, Shijaj Sen, Roderic A. Grupen
74
Voted
CIMCA
2005
IEEE
15 years 7 months ago
Learning to feel the physics of a body
Despite the tremendous progress in robotic hardware and in both sensorial and computing efficiencies the performance of contemporary autonomous robots is still far below that of ...
Ralf Der, Frank Hesse, Georg Martius
PDCAT
2007
Springer
15 years 8 months ago
Privacy Preserving Set Intersection Protocol Secure against Malicious Behaviors
When datasets are distributed on different sources, finding out their intersection while preserving the privacy of the datasets is a widely required task. In this paper, we addre...
Yingpeng Sang, Hong Shen
111
Voted
ICRA
2002
IEEE
131views Robotics» more  ICRA 2002»
15 years 6 months ago
Acquisition and Embodiment of Motion Elements in Closed Mimesis Loop
It is needed for humanoid to acquire not only just a trajectory but also aim of the behavior and symbolic information during behavior development. We have proposed the mimesis sys...
Tetsunari Inamura, Iwaki Toshima, Yoshihiko Nakamu...
91
Voted
ATAL
2003
Springer
15 years 7 months ago
Concurrent layered learning
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...
Shimon Whiteson, Peter Stone