The remote control ofmobile robot on theInternet

During last decades, the Internet teleobotics has been growing at an enormous ratedue to the rapid improvement of Internet technology. This paper presents theinternet-based remote control of mobile robot. To face unpredictable Internet delaysand possible connection rupture, a direct continuous control based teleoperationarchitecture with “Speed Limit Module” (SLM) and “Delay Approximator” (DA) isproposed. This direct continuous control architecture guarantees the path error of therobot motion is restricted within the path error tolerance of the application.Experiment results show the feasibility and effectiveness of this direct Internet controlarchitecture in the real Internet environment.

Skolsköterskans upplevelse av att arbeta med barn och ungdomar som mår psykiskt dåligt : En intervjustudie med kvalitativ ansats

Syfte: Att beskriva skolsköterskans upplevelse av att arbeta med barn och ungdomar som mår psykiskt dåligt, det preventiva arbetet samt samarbetet med andra vårdgivare.Metod: Studien har en kvalitativ design med fenomenologisk ansats. Deltagare i studien var fem skolsköterskor i en svensk kommun. Utgången i intervjun var tre stora öppna frågor i omr��det "skolsköterskans upplevelse av att arbeta med barn och unga som mår psykiskt dåligt". Analysen genomfördes med hjälp av Kvales metod för analys, så kallad meningskoncentrering, vilket skedde efter transkribering i tre steg. Resultat: Analysen resulterade i följande deskriptiva teman. Viktigt arbete, Tidsbrist, Känslor av otillräcklighet, Barnens företrädare, Att skapa tillit, Tillgänglighet, Betydelsen av preventiva metoder, Betydelsen av samarbete inom skolan, Samarbete med föräldrar - en svår gränsdragning, Socialtjänstens sekretess försvårar arbetet, Utebliven remisshantering försvårar samarbetet med BUP samt "Hål i organisationen".Slutsats: Skolsköterskorna ansåg att det var viktigt att arbeta för psykisk hälsa hos eleverna. De upplevde tidspressen som ett hinder i arbetet med detta, vilket var frustrerande. Alla informanter önskade få möjlighet att arbeta mer preventivt. Samarbetet med lärare, kuratorer och föräldrar var betydelsefullt för att kunna hjälpa barnen. Samarbetet med andra vårdgivare upplevdes skiftande. Samtliga informanter var dock överens om att samarbetet kan förbättras.

Dancing with Mr. Penrose and other stories

Stories: Fallen Angel The Inheritance Schlog's Dance The New World Dancing With Mr. Penrose

Machine learning and small robot navigation

Developing successful navigation and mapping strategies is an essential part of autonomous robot research. However, hardware limitations often make for inaccurate systems. This project serves to investigate efficient alternatives to mapping an environment, by first creating a mobile robot, and then applying machine learning to the robot and controlling systems to increase the robustness of the robot system. My mapping system consists of a semi-autonomous robot drone in communication with a stationary Linux computer system. There are learning systems running on both the robot and the more powerful Linux system. The first stage of this project was devoted to designing and building an inexpensive robot. Utilizing my prior experience from independent studies in robotics, I designed a small mobile robot that was well suited for simple navigation and mapping research. When the major components of the robot base were designed, I began to implement my design. This involved physically constructing the base of the robot, as well as researching and acquiring components such as sensors. Implementing the more complex sensors became a time-consuming task, involving much research and assistance from a variety of sources. A concurrent stage of the project involved researching and experimenting with different types of machine learning systems. I finally settled on using neural networks as the machine learning system to incorporate into my project. Neural nets can be thought of as a structure of interconnected nodes, through which information filters. The type of neural net that I chose to use is a type that requires a known set of data that serves to train the net to produce the desired output. Neural nets are particularly well suited for use with robotic systems as they can handle cases that lie at the extreme edges of the training set, such as may be produced by "noisy" sensor data. Through experimenting with available neural net code, I became familiar with the code and its function, and modified it to be more generic and reusable for multiple applications of neural nets.