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» Using Stochastic Grammars to Learn Robotic Tasks
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ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
15 years 3 months ago
Learning to predict Resistive Forces During Robotic Excavation
— Few robot tasks require as forceful an interaction with the world as excavation. In order to effectively plan its actions, our robot excavator requires a method that allows it ...
Sanjiv Singh
ICRA
2002
IEEE
128views Robotics» more  ICRA 2002»
15 years 4 months ago
Generation of a Task Model by Integrating Multiple Observations of Human Demonstrations
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the “Learning from Observation” framework. Most of the approaches so far assume t...
Koichi Ogawara, Jun Takamatsu, Hiroshi Kimura, Kat...
ICML
2005
IEEE
16 years 16 days ago
Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...
Sylvain Calinon, Aude Billard
HRI
2009
ACM
15 years 6 months ago
Learning about objects with human teachers
A general learning task for a robot in a new environment is to learn about objects and what actions/effects they afford. To approach this, we look at ways that a human partner c...
Andrea Lockerd Thomaz, Maya Cakmak
SCAI
2001
15 years 1 months ago
A Step Towards Incremental On-Board Evolutionary Robotics
We apply evolutionary algorithm (EA) to the design of controller for adaptive robots. EAs can be successful for more complicated tasks, where traditional engineering methods strugg...
Pavel Petrovic