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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 1 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...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 5 months ago
A developmental genetics-inspired approach to robot control
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
Sanjeev Kumar
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
14 years 6 months ago
Sensor-based robot deployment algorithms
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
Jerome Le Ny, George J. Pappas
83
Voted
CDC
2008
IEEE
158views Control Systems» more  CDC 2008»
15 years 6 months ago
Cooperative control of an autonomous sampling network in an external flow field
Abstract— Cooperative steering controls enable mobile sampling platforms to conduct synoptic, adaptive surveys of dynamic spatiotemporal processes by appropriately regulating the...
Derek A. Paley
113
Voted
PDPTA
2004
15 years 1 months ago
Towards an Adaptive Economic Society of Peers
This paper presents our on-going research into selforganizing and self-healing networks of resource brokers, for use in complex Peer-to-Peer (P2P) resource sharing and Grid comput...
Paul Silvey