Beaglebone Robotic Projects Second Edition
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Kinematic Modeling of a Rhex-Type Robot Using a Neural Network
Kinematic Modeling of a RHex-type Robot Using a Neural Network Mario Harpera, James Paceb, Nikhil Guptab, Camilo Ordonezb, and Emmanuel G. Collins, Jr.b aDepartment of Scientific Computing, Florida State University, Tallahassee, FL, USA bDepartment of Mechanical Engineering, Florida A&M - Florida State University, College of Engineering, Tallahassee, FL, USA ABSTRACT Motion planning for legged machines such as RHex-type robots is far less developed than motion planning for wheeled vehicles. One of the main reasons for this is the lack of kinematic and dynamic models for such platforms. Physics based models are difficult to develop for legged robots due to the difficulty of modeling the robot-terrain interaction and their overall complexity. This paper presents a data driven approach in developing a kinematic model for the X-RHex Lite (XRL) platform. The methodology utilizes a feed-forward neural network to relate gait parameters to vehicle velocities. Keywords: Legged Robots, Kinematic Modeling, Neural Network 1. INTRODUCTION The motion of a legged vehicle is governed by the gait it uses to move. Stable gaits can provide significantly different speeds and types of motion. The goal of this paper is to use a neural network to relate the parameters that define the gait an X-RHex Lite (XRL) robot uses to move to angular, forward and lateral velocities. This is a critical step in developing a motion planner for a legged robot. The approach taken in this paper is very similar to approaches taken to learn forward predictive models for skid-steered robots. For example, this approach was used to learn a forward predictive model for the Crusher UGV (Unmanned Ground Vehicle).1 RHex-type robot may be viewed as a special case of skid-steered vehicle as their rotating C-legs are always pointed in the same direction. -
18 Free Ways to Download Any Video Off the Internet Posted on October 2, 2007 by Aseem Kishore Ads by Google
http://www.makeuseof.com/tag/18-free-ways-to-download-any-video-off-the-internet/ 18 Free Ways To Download Any Video off the Internet posted on October 2, 2007 by Aseem Kishore Ads by Google Download Videos Now download.cnet.com Get RealPlayer® & Download Videos from the web. 100% Secure Download. Full Movies For Free www.YouTube.com/BoxOffice Watch Full Length Movies on YouTube Box Office. Absolutely Free! HD Video Players from US www.20north.com/ Coby, TV, WD live, TiVo and more. Shipped from US to India Video Downloading www.VideoScavenger.com 100s of Video Clips with 1 Toolbar. Download Video Scavenger Today! It seems like everyone these days is downloading, watching, and sharing videos from video-sharing sites like YouTube, Google Video, MetaCafe, DailyMotion, Veoh, Break, and a ton of other similar sites. Whether you want to watch the video on your iPod while working out, insert it into a PowerPoint presentation to add some spice, or simply download a video before it’s removed, it’s quite essential to know how to download, convert, and play these videos. There are basically two ways to download videos off the Internet and that’s how I’ll split up this post: either via a web app or via a desktop application. Personally, I like the web applications better simply because you don’t have to clutter up and slow down your computer with all kinds of software! UPDATE: MakeUseOf put together an excellent list of the best websites for watching movies, TV shows, documentaries and standups online. -
Design and Realization of a Humanoid Robot for Fast and Autonomous Bipedal Locomotion
TECHNISCHE UNIVERSITÄT MÜNCHEN Lehrstuhl für Angewandte Mechanik Design and Realization of a Humanoid Robot for Fast and Autonomous Bipedal Locomotion Entwurf und Realisierung eines Humanoiden Roboters für Schnelles und Autonomes Laufen Dipl.-Ing. Univ. Sebastian Lohmeier Vollständiger Abdruck der von der Fakultät für Maschinenwesen der Technischen Universität München zur Erlangung des akademischen Grades eines Doktor-Ingenieurs (Dr.-Ing.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr.-Ing. Udo Lindemann Prüfer der Dissertation: 1. Univ.-Prof. Dr.-Ing. habil. Heinz Ulbrich 2. Univ.-Prof. Dr.-Ing. Horst Baier Die Dissertation wurde am 2. Juni 2010 bei der Technischen Universität München eingereicht und durch die Fakultät für Maschinenwesen am 21. Oktober 2010 angenommen. Colophon The original source for this thesis was edited in GNU Emacs and aucTEX, typeset using pdfLATEX in an automated process using GNU make, and output as PDF. The document was compiled with the LATEX 2" class AMdiss (based on the KOMA-Script class scrreprt). AMdiss is part of the AMclasses bundle that was developed by the author for writing term papers, Diploma theses and dissertations at the Institute of Applied Mechanics, Technische Universität München. Photographs and CAD screenshots were processed and enhanced with THE GIMP. Most vector graphics were drawn with CorelDraw X3, exported as Encapsulated PostScript, and edited with psfrag to obtain high-quality labeling. Some smaller and text-heavy graphics (flowcharts, etc.), as well as diagrams were created using PSTricks. The plot raw data were preprocessed with Matlab. In order to use the PostScript- based LATEX packages with pdfLATEX, a toolchain based on pst-pdf and Ghostscript was used. -
Primaria Digital. Aulas Digitales Móviles. Manual General Introductorio 1
ARGENTINA Primaria Digital. Aulas Digitales Móviles. Manual General Introductorio 1 Dirección de Gestión Educativa; Dirección de Educación Primaria Presenta los lineamientos del Plan Primaria Digital y cuenta con tres partes. En ellas se detallan la política de integración del país, sus objetivos, y una propuesta pedagógica para llevarla a cabo. También se trata la importancia de las Aulas Digitales móviles en la escuela primaria, sus ventajas e interacción, y se brinda una orientación para su uso. 01/08/2018 AULAS DIGITALES MÓVILES Instructivo técnico Equipo Técnico Jurisccional - Dirección Provincial de Tecnologías Educativas Ministerio de Educación Autoridades Presidente de la Nación Ing. Mauricio Macri Ministro de Educación y Deportes Lic. Esteban Bullrich Jefe de Gabinete Dr. Diego Sebastián Marías Secretario de Gestión Educativa Lic. Maximiliano Gulmanelli Secretaria de Innovación y Calidad Educativa Lic. María de las Mercedes Miguel Subsecretario de Coordinación Administrativa Sr. Félix Lacroze Gerente general Educ.ar S.E. Lic. Guillermo Fretes Directora de Educación Digital y Contenidos Multiplataforma Lic. María Florencia Ripani Director en Gestión de programas Ing. Mauro Iván Nunes Equipo Técnico Jurisccional - Dirección Provincial de Tecnologías Educativas Ministerio de Educación Argentina. Ministerio de Educación de la Nación Manual de primaria digital : instructivo técnico. - 1.a ed. - Ciudad Autónoma de Buenos Aires : Ministerio de Educación de la Nación, 2016. 39 p. : il. ; 28x20 cm. ISBN 978-950-00-1120-4 1. Formación -
Performance Analysis and Terrain Classification for a Legged Robot
Performance analysis and terrain classification for a legged robot over rough terrain Fernando L. Garcia Bermudez, Ryan C. Julian, Duncan W. Haldane, Pieter Abbeel, and Ronald S. Fearing Abstract— Minimally actuated millirobotic crawlers navigate unreliably over uneven terrain–even when designed with in- herent stability–mostly because of manufacturing variabilities and a lack of good models for ground interaction. In this paper, we investigate the performance of a legged robot as it traverses three distinct rough terrains: tile, carpet, and gravel. Furthermore, we present an accurate, robust, low-lag, and efficient algorithm for terrain classification that uses vibration data from the on-board inertial measurement unit and motor control data from back-EMF sensing and magnetic encoders. I. INTRODUCTION Millirobotic crawling platforms have in general been op- timized from a design perspective at the mechanical level. The optimization goal was to achieve a certain behavior optimally, such as sprinting [4][17], climbing [3], walking [18][21], or turning [28]. What was not often reported, Fig. 1: Robotic platform, outfitted with motion capture though, is that although the design may be optimal for a tracking dots, positioned on top of the gravel used for specific task, manufacturing variability can result in poor experimentation. performance. This is even more significant at the millirobot scale and was a particularly crucial limitation of the actuation mechanism of the Micromechanical Flying Insect [1]. rough terrains. Using telemetry gathered from the on-board This has prompted several groups to work on adapting sensors, we then focus on terrain classification. the robot’s gait to achieve better performance at tasks the Previous authors have focused on vibrational terrain clas- robot was not designed for (e.g. -
Design and Control of a Large Modular Robot Hexapod
Design and Control of a Large Modular Robot Hexapod Matt Martone CMU-RI-TR-19-79 November 22, 2019 The Robotics Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA Thesis Committee: Howie Choset, chair Matt Travers Aaron Johnson Julian Whitman Submitted in partial fulfillment of the requirements for the degree of Master of Science in Robotics. Copyright © 2019 Matt Martone. All rights reserved. To all my mentors: past and future iv Abstract Legged robotic systems have made great strides in recent years, but unlike wheeled robots, limbed locomotion does not scale well. Long legs demand huge torques, driving up actuator size and onboard battery mass. This relationship results in massive structures that lack the safety, portabil- ity, and controllability of their smaller limbed counterparts. Innovative transmission design paired with unconventional controller paradigms are the keys to breaking this trend. The Titan 6 project endeavors to build a set of self-sufficient modular joints unified by a novel control architecture to create a spiderlike robot with two-meter legs that is robust, field- repairable, and an order of magnitude lighter than similarly sized systems. This thesis explores how we transformed desired behaviors into a set of workable design constraints, discusses our prototypes in the context of the project and the field, describes how our controller leverages compliance to improve stability, and delves into the electromechanical designs for these modular actuators that enable Titan 6 to be both light and strong. v vi Acknowledgments This work was made possible by a huge group of people who taught and supported me throughout my graduate studies and my time at Carnegie Mellon as a whole. -
Principles of Robot Locomotion
Principles of robot locomotion Sven Böttcher Seminar ‘Human robot interaction’ Index of contents 1. Introduction................................................................................................................................................1 2. Legged Locomotion...................................................................................................................................2 2.1 Stability................................................................................................................................................3 2.2 Leg configuration.................................................................................................................................4 2.3 One leg.................................................................................................................................................5 2.4 Two legs...............................................................................................................................................7 2.5 Four legs ..............................................................................................................................................9 2.6 Six legs...............................................................................................................................................11 3 Wheeled Locomotion................................................................................................................................13 3.1 Wheel types .......................................................................................................................................13 -
How to Install and Configure Webcam Trust WB 3320X Live on Ubuntu /Debian Linux
Walking in Light with Christ - Faith, Computing, Diary Articles & tips and tricks on GNU/Linux, FreeBSD, Windows, mobile phone articles, religious related texts http://www.pc-freak.net/blog How to Install and configure webcam trust WB 3320X Live on Ubuntu /Debian Linux Author : admin I had to install WebCAM TRUST WB 3320X on one Xubuntu Linux install. Unfortunately by default the camera did not get detected (the Webcam vendor did not provide driver or specifications for Linux either). Thus I researched on the internet if and how this camera can be made work on Ubuntu Linux. I found some threads discussing the same issues as mine in Ubuntu Forums here . The threads even suggested a possible fix, which when followed literally did not work on this particular 32-bit Xubuntu 12.04.1 installation. I did 20 minutes research more but couldn't find much on how to make the Webcam working. I used Cheese and Skype to test if the webcamera can capture video, but in both of them all I see was just black screen. he camera was detected in lsusb displayed info as: # lsusb | grep -i webcam Bus 002 Device 002: ID 093a:2621 Pixart Imaging, Inc. PAC731x Trust Webcam After reading further a bit I found out some people online suggesting loading the gspca kernel module. I searched what kind of gspca*.kokernel modules are available using: 1 / 8 Walking in Light with Christ - Faith, Computing, Diary Articles & tips and tricks on GNU/Linux, FreeBSD, Windows, mobile phone articles, religious related texts http://www.pc-freak.net/blog locate gspca |grep -i .ko 1. -
MX-19.2 Users Manual
MX-19.2 Users Manual v. 20200801 manual AT mxlinux DOT org Ctrl-F = Search this Manual Ctrl+Home = Return to top Table of Contents 1 Introduction...................................................................................................................................4 1.1 About MX Linux................................................................................................................4 1.2 About this Manual..............................................................................................................4 1.3 System requirements..........................................................................................................5 1.4 Support and EOL................................................................................................................6 1.5 Bugs, issues and requests...................................................................................................6 1.6 Migration............................................................................................................................7 1.7 Our positions......................................................................................................................8 1.8 Notes for Translators.............................................................................................................8 2 Installation...................................................................................................................................10 2.1 Introduction......................................................................................................................10 -
Pipenightdreams Osgcal-Doc Mumudvb Mpg123-Alsa Tbb
pipenightdreams osgcal-doc mumudvb mpg123-alsa tbb-examples libgammu4-dbg gcc-4.1-doc snort-rules-default davical cutmp3 libevolution5.0-cil aspell-am python-gobject-doc openoffice.org-l10n-mn libc6-xen xserver-xorg trophy-data t38modem pioneers-console libnb-platform10-java libgtkglext1-ruby libboost-wave1.39-dev drgenius bfbtester libchromexvmcpro1 isdnutils-xtools ubuntuone-client openoffice.org2-math openoffice.org-l10n-lt lsb-cxx-ia32 kdeartwork-emoticons-kde4 wmpuzzle trafshow python-plplot lx-gdb link-monitor-applet libscm-dev liblog-agent-logger-perl libccrtp-doc libclass-throwable-perl kde-i18n-csb jack-jconv hamradio-menus coinor-libvol-doc msx-emulator bitbake nabi language-pack-gnome-zh libpaperg popularity-contest xracer-tools xfont-nexus opendrim-lmp-baseserver libvorbisfile-ruby liblinebreak-doc libgfcui-2.0-0c2a-dbg libblacs-mpi-dev dict-freedict-spa-eng blender-ogrexml aspell-da x11-apps openoffice.org-l10n-lv openoffice.org-l10n-nl pnmtopng libodbcinstq1 libhsqldb-java-doc libmono-addins-gui0.2-cil sg3-utils linux-backports-modules-alsa-2.6.31-19-generic yorick-yeti-gsl python-pymssql plasma-widget-cpuload mcpp gpsim-lcd cl-csv libhtml-clean-perl asterisk-dbg apt-dater-dbg libgnome-mag1-dev language-pack-gnome-yo python-crypto svn-autoreleasedeb sugar-terminal-activity mii-diag maria-doc libplexus-component-api-java-doc libhugs-hgl-bundled libchipcard-libgwenhywfar47-plugins libghc6-random-dev freefem3d ezmlm cakephp-scripts aspell-ar ara-byte not+sparc openoffice.org-l10n-nn linux-backports-modules-karmic-generic-pae -
Two Types of Biologically-Inspired Mesoscale Quadruped Robots
Two Types of Biologically-Inspired Mesoscale Quadruped Robots Thanhtam Ho and Sangyoon Lee Department of Mechanical Design and Production Engineering Konkuk University Seoul, Korea [email protected], [email protected] Abstract—This paper introduces two kinds of mesoscale (12 larger displacement than other types of piezocomposite cm), four-legged mobile robots whose locomotions are actuators. implemented by two pieces of piezocomposite actuators. The design of robot leg mechanism is inspired by the leg structure of However LIPCA has some drawbacks, too. For a fully biological creatures in a simplified fashion. The two prototype autonomous locomotion, a robot needs to carry an additional robots employ the walking and bounding locomotion gaits as a load that typically includes a control circuit and a battery, gait pattern. From numerous computer simulations and which requires an actuator to produce a stronger force. experiments, it is found that the bounding robot is superior to the However the active force of LIPCA is not strong enough. In walking one in the ability to carry a load at a fairly high velocity. addition the displacement is not so large either, which forces to However from the standpoint of agility of motions and ability of build a large mechanical amplifier. As a result, the mechanism turning, the walking robot is found to have a clear advantage. In becomes more complicated and heavier. Finally, like other addition, the development of a small power supply circuit that is piezoelectric actuators [1, 4], LIPCA requires a high drive planned to be installed in the prototype is reported. Considering voltage for operation. -
Computer Vision Using Simplecv and the Raspberry Pi 2
1 COMPUTER VISION USING SIMPLECV AND THE RASPBERRY PI Cuauhtemoc Carbajal ITESM CEM Reference: Practical Computer Vision with SimpleCV - Demaagd (2012) Enabling Computers To See 2 SimpleCV is an open source framework for building computer vision applications. With it, you get access to several high-powered computer vision libraries such as OpenCV – without having to first learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy. SimpleCV is an open source framework 3 It is a collection of libraries and software that you can use to develop vision applications. It lets you work with the images or video streams that come from webcams, Kinects, FireWire and IP cameras, or mobile phones. It’s helps you build software to make your various technologies not only see the world, but understand it too. SimpleCV is written in Python, and it's free to use. It runs on Mac, Windows, and Ubuntu Linux, and it's licensed under the BSD license. Features 4 Convenient "Superpack" installation for rapid deployment Feature detection and discrimination of Corners, Edges, Blobs, and Barcodes Filter and sort image features by their location, color, quality, and/or size An integrated iPython interactive shell makes developing code easy Image manipulation and format conversion Capture and process video streams from Kinect, Webcams, Firewire, IP Cams, or even mobile phones New (and only) book! 5 Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV. You can access the book online through the Safari collection of the ITESM CEM Digital Library.