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» Dogged Learning for Robots
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HRI
2011
ACM
13 years 1 months ago
A comparison of machine learning techniques for modeling human-robot interaction with children with autism
Several machine learning techniques are used to model the behavior of children with autism interacting with a humanoid robot, comparing a static model to a dynamic model using han...
Elaine Short, David Feil-Seifer, Maja J. Mataric
IROS
2008
IEEE
141views Robotics» more  IROS 2008»
14 years 4 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
IROS
2007
IEEE
165views Robotics» more  IROS 2007»
14 years 4 months ago
A bayesian conceptualization of space for mobile robots
Abstract— The future of robots, as our companions is dependent on their ability to understand, interpret and represent the environment in a human compatible manner. Towards this ...
Shrihari Vasudevan, Roland Siegwart
IROS
2006
IEEE
147views Robotics» more  IROS 2006»
14 years 4 months ago
A Hybrid Control Architecture for Autonomous Robotic Fish
— This paper presents a hybrid control architecture for autonomous robotic fishes which are able to swim and navigate in unknown or dynamically changing environments. It has a t...
Jindong Liu, Huosheng Hu, Dongbing Gu
ICRA
2002
IEEE
104views Robotics» more  ICRA 2002»
14 years 3 months ago
A Visual Landmark Framework for Indoor Mobile Robot Navigation
This article presents vision functions needed on a mobile robot to deal with landmark-based navigation in buildings. Landmarks are planar, quadrangular surfaces, which must be dis...
Jean-Bernard Hayet, Frédéric Lerasle...