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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 8 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
ROBOCUP
1999
Springer
135views Robotics» more  ROBOCUP 1999»
15 years 11 months ago
The Attempto RoboCup Robot Team
This paper describes the hardware and software architecture of the Attempto RoboCup-99 team. We first present the design of our heavily modified commercial robotic base, the robo...
Michael Plagge, Richard Günther, Jörn Ih...
AI50
2006
15 years 10 months ago
AI in Locomotion: Challenges and Perspectives of Underactuated Robots
Abstract. This article discusses the issues of adaptive autonomous navigation as a challenge of artificial intelligence. We argue that, in order to enhance the dexterity and adapti...
Fumiya Iida, Rolf Pfeifer, André Seyfarth
ESANN
2004
15 years 8 months ago
Input Space Bifurcation Manifolds of RNNs
We derive analytical expressions of local codim-1-bifurcations for a fully connected, additive, discrete-time RNN, where we regard the external inputs as bifurcation parameters. Th...
Robert Haschke, Jochen J. Steil
SOSP
2007
ACM
16 years 3 months ago
Information flow control for standard OS abstractions
ion Flow Control for Standard OS Abstractions Maxwell Krohn Alexander Yip Micah Brodsky Natan Cliffer M. Frans Kaashoek Eddie Kohler† Robert Morris MIT CSAIL †UCLA http://flum...
Maxwell N. Krohn, Alexander Yip, Micah Z. Brodsky,...