The Ultimate Palm Robot
the motivation for this book, which we hope will excite and inspire you to launch your own career in robotics, even if it’s only in your basement. Equipped with a Palm OS PDA and some inexpensive parts, almost anyone can create a fully functional robot. Heck, we did it. And so can you.
卡雷尔机器人学JAVA（KAREL THE ROBOT LEARNS JAVA）可复制2011-04-16
卡雷尔机器人学JAVA（KAREL THE ROBOT LEARNS JAVA） 可复制版
Stanley: The Robot that Won the DARPA Grand Challenge2020-12-20
Stanley: The Robot that Won the DARPA Grand Challenge
ROS By Example A Do It Yourself Guide to the Robot Operating System.pdf2017-07-24
ROS By Example A Do It Yourself Guide to the Robot Operating System.pdf
A Journey from Robot to Digital Human2015-04-19
Robotics research and technology development have been on the road to grow and advance for almost half a century. The history of expedition can be divided into three major periods: the early era, the middle age and the recent years. The official definition of robot by the Robot Institute of America (RIA) early on was: “A robot is a reprogrammable multi-functional manipulator designed to move material, parts, tools, or specialized devices through variable programmed motions for the performance of a variety of tasks.” Today, as commonly recognized, beyond such a professional definition from history, the general perception of a robot is a manipulatable system to mimic a human with not only the physical structure, but also the intelligence and even personality. In the early era, people often remotely manipulated material via a so-called teleoperator as well as to do many simple tasks in industrial applications. The teleoperator was soon “married” with the computer numerically controlled (CNC) milling machine to “deliver” a new-born baby that was the robot, as depicted in Figure 1.1. Since then, the robots were getting more and more popular in both industry and research laboratories. A chronological overview of the major historical events in robotics evolution during the early era is given as follows: 1947- The 1st servoed electric powered teleoperator was developed; 1948- A teleoperator was developed to incorporate force feedback; 1949- Research on numerically controlled milling machines was initiated; 1954- George Devol designed the first programmable robot; 1956- J. Engelberger bought the rights to found Unimation Co. and produce the Unimate robots; 1961- The 1st Unimate robot was installed in a GM plant for die casting; 1961- The 1st robot incorporating force feedback was developed; 1963- The 1st robot vision system was developed;
Robot Operating System (ROS) The Complete Reference (Volume 2) 无水印pdf2017-09-28
Robot Operating System (ROS) The Complete Reference (Volume 2) 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除
卡雷尔机器人学JAVA（KAREL THE ROBOT LEARNS JAVA）2011-04-16
卡雷尔机器人学JAVA（KAREL THE ROBOT LEARNS JAVA）
Robot Operating System &#40;ROS&#41; The Complete Reference (Volume 1) 20162018-12-17
Robot Operating System &#40;ROS&#41; The Complete Reference (Volume 1) 2016
Mobile Robot Navigation in Unknown Dynamic Environment2010-05-12
In view of the navigation problem of mobile robot in unknown dynamic environment, this paper proposes a new method of robot rolling navigation using improved ant colony system algorithm. The method first utilize the fuzzy logistic description to establish the fuzzy environment model of robot local area, and then adopts the improved ant colony system algorithm to quickly search each local optimal path. With the optimal path leading, the robot achieves navigation in unknown dynamic environment combine with the method of rolling path planning. The methods not only overcome the influences of fuzziness and uncertainty of environmental information which causes by sensor’s inferior detection, but also has fully exploited the ant colony algorithm superiority in the community intelligence. The simulation result indicates the validity and the feasibility of this algorithm.
Robot Motion Planning and Control2018-11-04
Robot Motion Planning and Control， Laboratoire d'Analye et d'Architecture des Systemes Centre National de la Recherche Scientique LAAS report 97438 Foreword How can a robot decide what motions to perform in order to achieve tasks in the physical world ? The existing industrial robot programming systems still have very limited motion planning capabilities. Moreover the eld of robotics is growing: space exploration, undersea work, intervention in hazardous environments, servicing robotics : : : Motion planning appears as one of the components for the necessary autonomy of the robots in such real contexts. It is also a fundamental issue in robot simulation software to help work cell designers to determine collision free paths for robots performing specic tasks.
The Robot’s Rebelli 英文版2018-04-06
o The paper used in this publication meets the minimum requirements of the American National Standard for Information Sciences — Permanence of Paper for Printed Library Materials, ANSI Z39.48-1992
In the 1970s, a Stanford graduate student named Rich Pattis decided that it would be easier to teach the fundamentals of programming if students could somehow learn the basic ideas in a simple environment free from the complexities that characterize most programming languages. Drawing inspiration from the success of Seymour Papert’s LOGO project at MIT, Rich designed an introductory programming environment in which students teach a robot to solve simple problems.That robot was named Karel, after the Czech playwright Karel Capek, whose 1923 play R.U.R. (Rossum’s Universal Robots) gave the word robot to the English language.
导航套件（The Carnegie Mellon Robot Navigation Toolkit）2017-11-24
Welcome to CARMEN, the Carnegie Mellon Robot Navigation Toolkit. CARMEN is an open-source collection of software for mobile robot control. CARMEN is modular software designed to provide basic navigation primatives including: base and sensor control, logging, obstacle avoidance, localization, path planning, and mapping.
Robot Framework Test Automation2014-03-31
Book Description Testing has traditionally been a part of software development and has always involved a lot of manual effort It can be automated with Robot Framework which offers numerous benefits from cost saving to increased quality assurance in the software delivery This book will help you to start designing test suites and Automated Acceptance Tests Helping you to get started with automating acceptance tests this book will provide a detailed overview of acceptance test management practices and principles You will also be introduced to advanced techniques that you can use to customize the test suite along with helpful tips and tricks to extend and leverage it in a wide variety of scenarios Starting with a detailed explanation of the need for automated acceptance test driven development this guide will help you with an empty test project creation and execution for proof of concept and validation of installation This book will also cover the Robot Framework in detail and will help you test desktop applications using Java Swing You will gain an in depth knowledge of tricky activities such as setting up a test environment and using it with Selenium You will also learn about other popular libraries and how to test network protocols web services and databases This book will cover the entire Robot Framework with real world practical material to make its content informative and interesting By the end of this book you will be able to write acceptance tests for desktop and web applications as well as know how to extend acceptance testing in other scenarios that are commonly devoid of tests and present the results appropriately What you will learn from this book Create and run a basic test over Robot Framework to validate the setup Customize a test with reusable components and introduce test reuse Identify the different files and tables used in tests Extend the framework by using third party libraries to work with other tools Parameterize the test cases and get data into the tests color] Create derived reports using the report metadata Use external resources to feed data into tests Set up the Robot Framework and run its basic test Approach Written in an engaging easy to follow style this practical guide will teach you to create test suites and automated acceptance Tests with the Robot Framework Who this book is written for If you are an automation engineer QA engineer developer or tester who is looking to get started with Robot Framework as well as find a standardized testing solution this book is ideal for you No prior knowledge of Robot Framework or acceptance testing is required although a basic knowledge of Python is required for few sections of the book Book Details Paperback: 98 pages Publisher: Packt Publishing October 2013 Language: English ISBN 10: 1783283033 ISBN 13: 978 1783283033">Book Description Testing has traditionally been a part of software development and has always involved a lot of manual effort It can be automated with Robot Framework which offers numerous benefits from cost saving to increased quality assurance in the software delivery This book will help you t [更多]
Particle Filters for Robot Navigation2019-01-09
Autonomous navigation is an essential capability for mobile robots. In order to operate robustly, a robot needs to know what the environment looks like, where it is in its environment, and how to navigate in it. This work summarizes approaches that address these three problems and that use particle filters as their main underlying model for representing beliefs. We illustrate that these filters are powerful tools that can robustly estimate the state of the robot and its environment and that it is also well-suited to make decisions about how to navigate in order to minimize the uncertainty of the joint belief about the robot's position and the state of the environment.
Inverse Kinematics Analysis and Emulation of the Legs Joint of the Humanoid Robot.pdf2010-10-27
Inverse Kinematics Analysis and Emulation of the Legs Joint of the Humanoid Robot.pdf
A Fire Reconnaissance Robot Based on SLAM Position2020-03-22
Due to hot toxic smoke and unknown risks under ﬁre conditions, detection and relevant reconnaissance are signiﬁcant in avoiding casualties. A ﬁre reconnaissance robot was therefore developed to assist in the problem by oﬀering important ﬁre information to ﬁre ﬁghters. The robot consists of three main systems, a display operating system, video surveillance, and mapping and positioning navigation. Augmented reality (AR) goggle technology with a display operating system wasalsodevelopedtofreeﬁreﬁghters’hands,whichenablesthemtofocusonrescuingprocessesand not system operation. Considering smoke disturbance, a thermal imaging video surveillance system wasincludedtoextractinformationfromthecomplicatedﬁreconditions. Meanwhile,asimultaneous localization and mapping (SLAM) technology was adopted to build the map, together with the help of a mapping and positioning navigation system. This can provide a real-time map under the rapidly changing ﬁre conditions to guide the ﬁre ﬁghters to the ﬁre sources or the trapped occupants. Based on our experiments, it was found that all the tested system components work quite well under the ﬁre conditions, while the video surveillance system produces clear images under dense smoke andahigh-temperatureenvironment;SLAMshowsahighaccuracywithanaverageerroroflessthan 3.43%; the positioning accuracy error is 0.31 m; and the maximum error for the navigation system is 3.48%. The developed ﬁre reconnaissance robot can provide a practically important platform to improve ﬁre rescue eﬃciency to reduce the ﬁre casualties of ﬁre ﬁghters.
人脸识别 人脸眼镜贴图 人脸跟踪
人脸识别 人脸眼镜贴图 人脸跟踪