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» Covisibility-Based Map Learning Method for Mobile Robots
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WACV
2007
IEEE
14 years 1 months ago
Object Categorization Robust to Surface Markings using Entropy-guided Codebook
Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main difļ...
Sungho Kim, In-So Kweon
CEC
2009
IEEE
14 years 2 months ago
What is situated evolution?
ā€”In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben
ICTAI
2006
IEEE
14 years 1 months ago
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many diļ¬€erent functions. The function approx...
Daniel Stronger, Peter Stone
ICCV
2009
IEEE
15 years 20 days ago
Absolute Scale in Structure from Motion from a Single Vehicle Mounted Camera by Exploiting Nonholonomic Constraints
In structure-from-motion with a single camera it is well known that the scene can be only recovered up to a scale. In order to compute the absolute scale, one needs to know the ...
Davide Scaramuzza, Friedrich Fraundorfer, Marc Pol...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 1 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A signiļ¬cant problem for evolving artiļ¬cial neural networks is that the physical arrangement of sensors and eļ¬€ectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley