For assembly tasks parts often have to be oriented before they can be put in an assembly. The results presented in this paper are a component of the automated design of parts orienting devices. The focus is on orienting parts with minimal sensing and manipulation. We present a new approach to parts orienting through the manipulation of pose distributions. Through dynamic simulation we can deter...

Uncertainty reduction underlies relational development, i.e., relationships develop as we learn more about each other. The present study examines ethnic differences in the uses of interactive uncertainty reduction communication--selfdisclosure, interrogative strategies, non-verbal immediacy, and other's self-disclosure-and their inter-relationships with attributional confidence (uncertainty red...

Simulators often require calibration inputs estimated from real-world data, and the estimate can significantly affect simulation output. Particularly when performing optimisation to find an optimal solution, uncertainty in affects quality of found solution. One remedy is search for solution that has best performance on average over uncertain range yielding compromise We consider more general se...

This paper presents a method by which uncertainty in reservoir modeling can be reduced by integrating observed data in the estimation of model parameters. The problem is inverse and ill-posed. Further, since the observed data and the reservoir properties are non-linearly related, reducing uncertainty becomes a non-trivial task. The methodology involves generating multiple reservoir descriptions...

Uncertainty quantification (UQ) for porous media flow is of great importance for many societal, environmental and industrial problems. An obstacle to the progress in solving such problems, as well as in solving other stochastic PDEs, SPDEs, is the extreme computational effort needed for solving realistic problems. It is expected that the computers will open the door for a significant progress i...