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» Covisibility-Based Map Learning Method for Mobile Robots
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WACV
2007
IEEE
13 years 11 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 3 days 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
13 years 11 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
14 years 10 months 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»
13 years 11 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