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Motion planning has seen much attention over the past two decades. A great deal of progress has been made in sampling-based planning , whereby a planner builds an approximate representation of the planning space. While these planners have demonstrated success in many scenarios, there are still difficult problems where they lack robustness or efficiency,(More)
Sampling-based planning is a common method for solving motion planning problems. However, this paradigm falters in difficult scenarios, such as narrow passages. In contrast, humans can frequently identify these challenges and can sometimes propose an approximate solution. A recent method called Region Steering takes advantage of this intuition by allowing a(More)
Planning motion is an essential component for any autonomous robotic system. An intelligent agent must be able to efficiently plan collision-free paths in order to move through its world. Despite its importance, this problem is PSPACE-Hard which means that even planning motions for simple robots is computationally difficult. State-of-the-art approaches(More)
This document summarizes the work of the Accelerator Working Group (AWG) of the International Scoping Study (ISS) of a Future Neutrino Factory and Superbeam Facility. The main goal of the activity was to reach consensus on a baseline design for a Neutrino Factory complex, including proton driver parameters, choice of target, front-end design, acceleration(More)
This paper presents ExxonMobil's evolution of a direct sloshing assessment methodology to resolve several challenging technical issues that are essential for evaluating the integrity of LNG containment systems. Among the most significant developments is the introduction of a probabilistic-based framework that facilitates modeling of the high variability of(More)
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