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» Learning from Nature to Build Intelligent Autonomous Robots
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ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
14 years 7 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
AIIA
2007
Springer
15 years 3 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
AAAI
2004
14 years 11 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
AAAI
2010
14 years 11 months ago
A Layered Approach to People Detection in 3D Range Data
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...
Luciano Spinello, Kai Oliver Arras, Rudolph Triebe...
EH
1999
IEEE
214views Hardware» more  EH 1999»
15 years 1 months ago
Coevolutionary Robotics
We address the fundamental issue of fully automated design (FAD) and construction of inexpensive robots and their controllers. Rather than seek an intelligent general purpose robo...
Jordan B. Pollack, Hod Lipson, Pablo Funes, Sevan ...