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We demonstrate the superior performance of fluoride coated versus oxide coated mirrors in long term vacuum operation of a high power deep-ultraviolet enhancement cavity. In high vacuum ($10^{-8}$ mbar), the fluoride optics can maintain up to a record-high 10 w of stable intracavity power on one hour time scales, whereas for the oxide optics, we observe rapid degradation at lower intracavity powers with a rate that increases with power. After observing degradation in high vacuum, we can recover the fluoride and oxide optics with oxygen; however, this recovery process becomes ineffective after several applications. For fluoride coatings, we see that initial UV conditioning in an oxygen environment helps to improve the performances of the optics. In oxygen-rich environments from $\sim 10^{-4}$ mbar to 1 mbar, the fluoride optics can stably maintain up to 20 W of intracavity power on several-hour time scales whereas for the oxide optics there is immediate degradation with a rate that increases with decreasing oxygen pressure., Comment: 13 pages, 7 figures

Standardized evaluation measures have aided in the progress of machine learning approaches in disciplines such as computer vision and machine translation. In this paper, we make the case that robotic learning would also benefit from benchmarking, and present a template for a vision-based manipulation benchmark. Our benchmark is built on “REPLAB,” a reproducible and self-contained hardware stack (robot arm, camera, and workspace) that costs about 2000 USD and occupies a cuboid of size 70x40x60 cm. Each REPLAB cell may be assembled within a few hours. Through this low-cost, compact design, REPLAB aims to drive wide participation by lowering the barrier to entry into robotics and to enable easy scaling to many robots. We envision REPLAB as a framework for reproducible research across manipulation tasks, and as a step in this direction, we define a grasping benchmark consisting of a task definition, evaluation protocol, performance measures, and a dataset of over 50,000 grasp attempts. We implement, evaluate, and analyze several previously proposed grasping approaches to establish baselines for this benchmark. Project page with assembly instructions, additional details, and videos: https://goo.gl/5F9dP4.

This paper discussed some requirements and issues for connection management in an optical wavelength routing switch in the context of a dynamically configurable wavelength management network environment. The wavelength connection management in the optical routing switch provides and manages the data path in the switch core for the configured end-to-end light path. Through a unique approach in design of the switching fabrics control and management, it is believed that a more scalable, flexible, and manageable optical wavelength routing switch architecture can be achieved. For editing purpose it is focused more on O-E-O model throughout this paper, although the contents would serve the same purpose to all optical model.