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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 1 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
14 years 1 months ago
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction
We propose that the behaviour of non-linear media can be controlled automatically through coevolutionary systems. By extension, forms of unconventional computing, i.e., massively ...
Christopher Stone, Rita Toth, Andrew Adamatzky, Be...
TROB
2008
95views more  TROB 2008»
13 years 7 months ago
Multisensor Input for CPG-Based Sensory---Motor Coordination
This paper describes a method for providing in real time a reliable synchronization signal for cyclical motions such as steady-state walking. The approach consists in estimating on...
Rodolphe Héliot, Bernard Espiau
AR
2010
133views more  AR 2010»
13 years 5 months ago
Coordinated Control of Space Robot Teams for the On-Orbit Construction of Large Flexible Space Structures
Teams of autonomous space robots are needed for future space missions such as the construction of large solar power stations and large space telescopes in earth orbit. This work fo...
Peggy Boning, Steven Dubowsky
DATE
2005
IEEE
129views Hardware» more  DATE 2005»
14 years 1 months ago
Exploiting Dynamic Workload Variation in Low Energy Preemptive Task Scheduling
A novel energy reduction strategy to maximally exploit the dynamic workload variation is proposed for the offline voltage scheduling of preemptive systems. The idea is to construc...
Lap-Fai Leung, Chi-Ying Tsui, Xiaobo Sharon Hu