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IDA
2003
Springer
15 years 2 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
ICRA
2005
IEEE
173views Robotics» more  ICRA 2005»
15 years 3 months ago
Decision Networks for Repair Strategies in Speech-Based Interaction with Mobile Tour-Guide Robots
– The main task of a voice-enabled tour-guide robot in mass exhibition setting is to engage visitors in dialogue and provide as much exhibit information as possible in a limited ...
Plamen J. Prodanov, Andrzej Drygajlo
INTERACT
2003
14 years 11 months ago
Vision-Speech System Becoming Efficient and Friendly through Experience
: This paper presents a vision-speech system for service robots that can learn the user’s customs and objects fixed in the environment while helping the user, and can perform the...
Yoshinori Kuno, Mitsutoshi Yoshizaki, Akio Nakamur...
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
15 years 3 months ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
15 years 1 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