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ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
16 years 1 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
ICCS
2005
Springer
16 years 11 hour ago
A Computational Model of Micro-vascular Growth
In order to supply a growing tissue with oxygen and nutrients and to remove its metabolic wastes, blood vessels penetrating the tissue are formed. Multiple mechanisms are involved ...
Dominik Szczerba, Gábor Székely
SBRN
2000
IEEE
15 years 11 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
ECRTS
2007
IEEE
16 years 25 days ago
Probabilistic Admission Control to Govern Real-Time Systems under Overload
Existing real-time research focuses on how to formulate, model and enforce timeliness guarantees for task sets whose correctness has a temporal aspect. However, the resulting syst...
Claude-Joachim Hamann, Michael Roitzsch, Lars Reut...
TMM
2011
177views more  TMM 2011»
15 years 1 months ago
MIMiC: Multimodal Interactive Motion Controller
Abstract—We introduce a new algorithm for real-time interactive motion control and demonstrate its application to motion captured data, pre-recorded videos and HCI. Firstly, a da...
Dumebi Okwechime, Eng-Jon Ong, Richard Bowden