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IWINAC
2007
Springer
15 years 10 months ago
Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level
We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
Michela Ponticorvo, Orazio Miglino
164
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INTERACTION
2009
ACM
15 years 9 months ago
RoboEarth: connecting robots worldwide
In this paper, we present the core concept and the benefits of an approach called RoboEarth which will be highly beneficial for future robotic applications in science and industry...
Oliver Zweigle, René van de Molengraft, Raf...
IUI
2009
ACM
16 years 1 months ago
From geek to sleek: integrating task learning tools to support end users in real-world applications
Numerous techniques exist to help users automate repetitive tasks; however, none of these methods fully support enduser creation, use, and modification of the learned tasks. We pr...
Aaron Spaulding, Jim Blythe, Will Haines, Melinda ...
IJCV
2007
159views more  IJCV 2007»
15 years 4 months ago
Monocular Vision for Mobile Robot Localization and Autonomous Navigation
This paper presents a new real-time localization system for a mobile robot. We show that autonomous navigation is possible in outdoor situation with the use of a single camera and ...
Eric Royer, Maxime Lhuillier, Michel Dhome, Jean-M...
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 10 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu