Tinkers: Robots, Makers, and the Changing Face of 21st Century DIY

Project URL: www.tinkers.lindaggorman.com My capstone project takes the form of a website, accessible at the URL above. The site features nine different journalistic pieces reported and produced over the course of the past year, all centered on the themes of robotics and cutting-edge DIY communities. I worked in several different media, from traditional print to audio to infographics. Though this project officially falls under the category of magazine journalism, my capstone also had a heavy technical component associated with creating the website and writing scripts to collect and visualize data. In terms of the content, I reported and wrote about a variety of inventors and creator communities, with a particular focus on robotics. During the course of my research I visited labs and spaces in Japan, Syracuse, Philadelphia, and my hometown of Wilmington, Delaware

Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation

Soccer, also known as football in some parts of the world, involves two teams of eleven players whose objective is to score more goals than the opposing team. To simulate this game and attract scientists from all over the world to conduct research and participate in an annual computer-based soccer world cup, Soccer Simulation 2D (SS2D) was one of the leagues initiated in the RoboCup competition. In every SS2D game, two teams of 11 players and one coach connect to the RoboCup Soccer Simulation Server and compete against each other. Over the past few years, several C++ base codes have been employed to control agents' behavior and their communication with the server. Although C++ base codes have laid the foundation for the SS2D, developing them requires an advanced level of C++ programming. C++ language complexity is a limiting disadvantage of C++ base codes for all users, especially for beginners. To conquer the challenges of C++ base codes and provide a powerful baseline for developing machine learning concepts, we introduce Pyrus, the first Python base code for SS2D. Pyrus is developed to encourage researchers to efficiently develop their ideas and integrate machine learning algorithms into their teams. Pyrus base is open-source code, and it is publicly available under MIT License on GitHu

The Power of Linear Recurrent Neural Networks

Recurrent neural networks are a powerful means to cope with time series. We show how a type of linearly activated recurrent neural networks, which we call predictive neural networks, can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed. Furthermore, the network size can be reduced by taking only most relevant components. Thus, in contrast to others, our approach not only learns network weights but also the network architecture. The networks have interesting properties: They end up in ellipse trajectories in the long run and allow the prediction of further values and compact representations of functions. We demonstrate this by several experiments, among them multiple superimposed oscillators (MSO), robotic soccer, and predicting stock prices. Predictive neural networks outperform the previous state-of-the-art for the MSO task with a minimal number of units.Comment: 22 pages, 14 figures and tables, revised implementatio

Mobile robot construction for edutainment application

As time goes on, there are more and more robotics applications. The limit is almost the imagination of each person. A great deal of industrial work can yet be done by robots and new ideas are blossoming. The entertainment industry is arriving and there are already many ideas as well as real robots on the field. It is important to point out that the entertainment applications not just entertain people as it also brings new research which will then be used in industrial work applications. This paper describes a team of robot football players which compete in a worldwide scientific challenge – the RoboCup.Fundação para a Ciência e a Tecnologia (FCT

ANALISIS DAN PERANCANGAN TEKNOLOGI PADA ROBOT SEPAK BOLA

Pertandingan sepak bola antar robot merupakan salah satu tantangan dalam dunia robotika yang diselenggarakan untuk dapat lebih mengembangkan robotika dan kecerdasan buatan serta sebagai ajang bertukar ilmu bagi para peneliti di seluruh dunia. Hal ini mendorong penulis merancang sebuah strategi untuk pertandingan sepak bola antar robot. Strategi dibuat dengan menggunakan konsep koordinat untuk merepresentasikan posisi robot dalam lapangan. Kemudian strategi diuji dan dianalisis untuk menentukan kinerja strategi dalam berbagai situasi. Inter-robot soccer game is one of the challenges in the world of robotics that is held to develop robotics and artificial intelligence and as well as a forum for researchers to exchange knowledge across the world. This encouraged the authors to design a strategy for inter-robot soccer game. Strategies are made using the concept of coordinates to represent the robot position in the field. Then the strategy is tested and analyzed to determine the performance of strategies in different situations