Model-Based Programming “by Demonstration”– Fast Setup of Robot Systems (ProDemo)

2009 ◽  
pp. 159-168 ◽  
Author(s):  
Jürgen Roßmann ◽  
Henning Ruf ◽  
Christian Schlette
Keyword(s):  
Programming By Demonstration ◽  
Model Based ◽  
Robot Systems

scholarly journals A Software Architecture for Model-Based Programming of Robot Systems

2009 ◽  
pp. 135-146 ◽  
Author(s):  
Michael Geisinger ◽  
Simon Barner ◽  
Martin Wojtczyk ◽  
Alois Knoll
Keyword(s):  
Software Architecture ◽  
Model Based ◽  
Robot Systems

scholarly journals Robot manipulator calibration for 3D model based robot systems.

1989 ◽  
Vol 7 (2) ◽  
pp. 182-191 ◽  
Author(s):  
Masaru ISHII ◽  
Shigeyuki SAKANE ◽  
Masayoshi KAKIKURA ◽  
Yoshio MIKAMI
Keyword(s):  
3D Model ◽  
Robot Manipulator ◽  
Model Based ◽  
Robot Systems

An integrated model-based diagnosis and repair architecture for ROS-based robot systems

2013 ◽  
Author(s):  
Safdar Zaman ◽  
Gerald Steinbauer ◽  
Johannes Maurer ◽  
Peter Lepej ◽  
Suzana Uran
Keyword(s):  
Integrated Model ◽  
Model Based ◽  
Robot Systems

A Comparative Model-based Analysis for Multi-robot Systems

1993 ◽  
Vol 26 (2) ◽  
pp. 523-526
Author(s):  
K.D. Lee ◽  
B.H. Lee ◽  
M.S. Ko
Keyword(s):  
Model Based ◽  
Robot Systems ◽  
Comparative Model ◽  
Model Based Analysis ◽  
Multi Robot

scholarly journals An LPV pole-placement approach to friction compensation as an FTC problem

2012 ◽  
Vol 22 (1) ◽  
pp. 149-160 ◽  
Author(s):  
Ron Patton ◽  
Lejun Chen ◽  
Supat Klinkhieo
Keyword(s):  
Fault Tolerant ◽  
Pole Placement ◽  
Develop Model ◽  
Fault Estimation ◽  
Friction Compensation ◽  
Friction Forces ◽  
Model Based ◽  
Robot Systems ◽  
Real Robot ◽  
And Performance

An LPV pole-placement approach to friction compensation as an FTC problemThe concept of combining robust fault estimation within a controller system to achieve active Fault Tolerant Control (FTC) has been the subject of considerable interest in the recent literature. The current study is motivated by the need to develop model-based FTC schemes for systems that have no unique equilibria and are therefore difficult to linearise. Linear Parameter Varying (LPV) strategies are well suited to model-based control and fault estimation for such systems. This contribution involves pole-placement within suitable LMI regions, guaranteeing both stability and performance of a multi-fault LPV estimator employed within an FTC structure. The proposed design strategy is illustrated using a nonlinear two-link manipulator system with friction forces acting simultaneously at each joint. The friction forces, regarded as a special case of actuator faults, are estimated and their effect is compensated within a polytope controller system, yielding a robust form of active FTC that is easy to apply to real robot systems.

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  
Keyword(s):  
Image Analysis ◽  
Mammary Epithelial Cells ◽  
Nuclear Organization ◽  
Critical Role ◽  
Quantitative Model ◽  
Mammary Epithelial ◽  
Cell Phenotype ◽  
Proliferating Cells ◽  
Mitotic Apparatus ◽  
Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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