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» Learning from Nature to Build Intelligent Autonomous Robots
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DAGSTUHL
2003
13 years 11 months ago
Evolution of Embodied Intelligence
Abstract. We provide an overview of the evolutionary approach to the emergence of artificial intelligence in embodied behavioral agents. This approach, also known as Evolutionary R...
Dario Floreano, Francesco Mondada, Andrés P...
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
14 years 3 months ago
Bio-inspired Model of Robot Adaptive Learning and Mapping
- In this paper we present a model designed on the basis of the neurophysiology of the rat hippocampus to control the navigation of a real robot. The model allows the robot to lear...
Alejandra Barrera Ramirez, Alfredo Weitzenfeld Rid...
CCIA
2010
Springer
13 years 4 months ago
Learning Force-Based Robot Skills from Haptic Demonstration
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
Leonel Rozo, Pablo Jiménez, Carme Torras
JFR
2006
88views more  JFR 2006»
13 years 9 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
ECAI
2008
Springer
13 years 11 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...