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TROB
2010
129views more  TROB 2010»
13 years 7 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
ICRA
2006
IEEE
130views Robotics» more  ICRA 2006»
14 years 3 months ago
Mathematical Foundation for Hormone-inspired Control for Self-reconfigurable Robotic Systems
– In this paper, we present a general mathematical foundation of hormone-inspired control for the selfreconfigurable robotic system. Problem considered here is the lack of a math...
Feili Hou, Wei-Min Shen
CDC
2008
IEEE
170views Control Systems» more  CDC 2008»
14 years 3 months ago
Modeling and control of the protein synthesis process in eukaryotic cells
— Protein synthesis is an essential process of cell cycle and growth in eukaryotic cells. The initiation stage of the translation process is known to be the most crucial in regul...
Nadav S. Bar, Rahmi Lale
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 3 months ago
Nonlinear dynamics modelling for controller evolution
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
Julian Togelius, Renzo De Nardi, Hugo Gravato Marq...
VSTTE
2005
Springer
14 years 2 months ago
Model Checking: Back and Forth between Hardware and Software
The interplay back and forth between software model checking and hardware model checking has been fruitful for both. Originally intended for the analysis of concurrent software, mo...
Edmund M. Clarke, Anubhav Gupta, Himanshu Jain, He...