Initiating the gain process in a free-electron laser (FEL) from an external highly coherent source of radiation is a promising way to improve the pulse properties such as temporal coherence and synchronization performance in time-resolved pump-probe experiments at FEL facilities, but this so-called "seeding" suffers from the lack of adequate sources at short wavelengths. We report on the first suc

The existing thermionic RF-gun (tungsten-BaO cathode) at the MAX-lab linac injector has been adapted for photo cathode operation. Important parameters of this system for free electron laser experiments, like emittance and charge, were measured giving 5.5 mmmrad at 70 pC (see below). A more detailed report on that setup, including laser and electron optics is given.

Vår blick på världen är inte neutral, utan medskapande. När vi betraktar ett fotografi i ett vardagligt sammanhang registrerar vår blick inte bara sinnesdata, utan skapar också mening utifrån det vi tror oss veta om ­världen. Insikten om att blicken inte är neutral får politiska implikationer då det innebär att det betraktades mening inte är given. I maktspelet om blicken blir frågan om vems blick

This chapter deals with the male appropriation of motherhood as a metaphor for transformation in religious texts and practices. Particular attention is given to its historical uses and modern reception in the Daoist alchemical traditions. Through a textual study of the central Daoist text the Daodejing, gendered metaphors, particularly relating to motherhood and infancy are identified and analysed

Margento's "computationally assembled" anthology (Raluca Tanasescu, Chris Tanasescu, Marius Surleac, Vaibhav Kesarwani, Diana Inkpen) has a bilingual title with different appearances: once "US" Poets Foreign Poets, then "New Poets". The first time is "foreign", the second time novelty. It is clear that the volume appearing at FrActalia Press in 2018 is a step further on the development of digital

During the last decades, the methods for intuitive task level programming of robots have become a fundamental point of interest for industrial application. The paper in hand presents SkiROS (Skill-based Robot Operating System) a novel software architecture based on the skills paradigm. The skill paradigm has already been used and tested within the FP7 project TAPAS, and we are going to use it in s

The development of cognitive robots in ROS still lacks the support of some key components: a knowledge integration framework and a framework for autonomous mission execution. In this research chapter, we will discuss our skill-based platform SkiROS, that was developed on top of ROS in order to organize robot knowledge and its behavior. We will show how SkiROS offers the possibility to integrate diThe development of cognitive robots in ROS still lacks the support of some key components: a knowledge integration framework and a framework for autonomous mission execution. In this research chapter, we will discuss our skill-based platform SkiROS, that was developed on top of ROS in order to organize robot knowledge and its behavior. We will show how SkiROS offers the possibility to integrate di

In order for manufacturing companies to remain competitive while also offering a high degree of customization for the customers, flexible robots that can be rapidly reprogrammed to new tasks need to be applied in the factories. In this paper we propose a method for the intuitive programming of an industrial mobile robot by combining robot skills, a graphical user interface and human gesture recogn

Automated task planning for robots is usually implemented on a motion primitive domain, where the focus is on constructing meaningful, general motion primitives. In this work we propose planning on the higher abstraction level of robot skills. In this context, skills are general, functional blocks that contain both sensing and action, have a welldefined expected outcome and set of preconditions, a

Purpose– The purpose of this study has been to evaluate the technology of autonomous mobile manipulation in a real world industrial manufacturing environment. The objective has been to obtain experience in the integration with existing equipment and determine key challenges in maturing the technology to a level of readiness suitable for industry. Despite much research within the topic of industriaPurpose– The purpose of this study has been to evaluate the technology of autonomous mobile manipulation in a real world industrial manufacturing environment. The objective has been to obtain experience in the integration with existing equipment and determine key challenges in maturing the technology to a level of readiness suitable for industry. Despite much research within the topic of industria

Delegating tasks from a human to a robot needs an efficient and easy-to-use communication pipeline between them - especially when inexperienced users are involved. This work presents a robotic system that is able to bridge this communication gap by exploiting 3D sensing for gesture recognition and real-time object segmentation. We visually extract an unknown object indicated by a human through a pDelegating tasks from a human to a robot needs an efficient and easy-to-use communication pipeline between them - especially when inexperienced users are involved. This work presents a robotic system that is able to bridge this communication gap by exploiting 3D sensing for gesture recognition and real-time object segmentation. We visually extract an unknown object indicated by a human through a p

3D pose estimation is a crucial element for enabling robots to work in industrial environment to perform tasks like bin-picking or depalletizing. Even though there exist various pose estimation algorithms, they usually deal with common daily objects applied in lab environments. However, coping with real-world industrial objects is a much harder challenge for most pose estimation techniques due to 3D pose estimation is a crucial element for enabling robots to work in industrial environment to perform tasks like bin-picking or depalletizing. Even though there exist various pose estimation algorithms, they usually deal with common daily objects applied in lab environments. However, coping with real-world industrial objects is a much harder challenge for most pose estimation techniques due to

The registration of an observed point set to a known model to estimate its 3D pose is a common task for the autonomous manipulation of objects. Especially in industrial environments, robotic systems need to accurately estimate the pose of objects in order to successfully perform picking, placing or assembly tasks. However, the characteristics of industrial objects often cause difficulties for clas