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» Learning Behaviors Models for Robot Execution Control
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NN
1998
Springer
15 years 3 months ago
Neural control of rhythmic arm movements
In this paper we present an approach to robot arm control based on exploiting the dynamical properties of a simple neural network oscillator circuit coupled to the joints of an ar...
Matthew M. Williamson
HRI
2009
ACM
15 years 11 months ago
How to approach humans?: strategies for social robots to initiate interaction
This paper proposes a model of approach behavior with which a robot can initiate conversation with people who are walking. We developed the model by learning from the failures in ...
Satoru Satake, Takayuki Kanda, Dylan F. Glas, Mich...
AR
2011
14 years 10 months ago
Imitation Learning of Positional and Force Skills Demonstrated via Kinesthetic Teaching and Haptic Input
A method to learn and reproduce robot force interactions in a Human-Robot Interaction setting is proposed. The method allows a robotic manipulator to learn to perform tasks which ...
Petar Kormushev, Sylvain Calinon, Darwin G. Caldwe...
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 7 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
ICML
2006
IEEE
16 years 4 months ago
Maximum margin planning
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...