PDF-(BOOS)-Autonomous Military Robotics (SpringerBriefs in Computer Science)

This SpringerBrief reveals the latest techniques in computer vision and machine learning on robots that are designed as accurate and efficient military snipers Militaries around the world are investigating this technology to simplify the time cost and safety measures necessary for training human snipers These robots are developed by combining crucial aspects of computer science research areas including image processing robotic kinematics and learning algorithms The authors explain how a new humanoid robot the iCub uses highspeed cameras and computer vision algorithms to track the object that has been classified as a target The robot adjusts its arm and the gun muzzle for maximum accuracy due to a neural model that includes the parameters of its joint angles the velocity of the bullet and the approximate distance of the target A thorough literature review provides helpful context for the experiments Of practical interest to military forces around the world this brief is designed for professionals and researchers working in military robotics It will also be useful for advanced level computer science students focused on computer vision AI and machine learning issues. cscmuedu thrun draft please do not circulate Abstract In the 1970s most research in robotics presupposed the ailability of xact models of robots and their en vironments Little emphasis as placed on sensing and the intrinsic limitations of modeling co stanfordedu Sebastian Thrun Computer Science Department Stanford University Stanford CA 94305 thrunaistanfordedu Michael Montemerlo Computer Science Department Stanford University Stanford CA 94305 mmdeaistanfordedu James Diebel Computer Science Depa Indeed autonomous robotics are not yet fully developed the robot must now be operated remotely by a human operator We must therefore take into account the principles developed in teleoperation However as the robot can perform basic tasks independent Marmol. School of Computer Science. Senior Thesis. Market-Based Coordination of Recharging Robots. Advisor:. M. . Bernardine. Dias, Ph.D.. Robotics Institute. Mentor:. Balajee. . Kannan. , Ph.D.. Robotics Institute. of . Robotics. Raj Reddy. Carnegie Mellon University. Sep 8. , 2016. 1. Robotics Institute 1979-80. Manufacturing Robotics. Automated Forging Cell. Paul Wright, David Bourne. 3D Printing. Fritz . Prinz. Senior Thesis. Market-Based Coordination of Recharging Robots. Advisor:. M. . Bernardine. Dias, Ph.D.. Robotics Institute. Mentor:. Balajee. . Kannan. , Ph.D.. Robotics Institute. Autonomous Recharging. Robots today serve in many roles, from entertainer to educator to executioner. As robotics technology advances, ethical concerns become more pressing: Should robots be programmed to follow a code of ethics, if this is even possible? Are there risks in forming emotional bonds with robots? How might society--and ethics--change with robotics? This volume is the first book to bring together prominent scholars and experts from both science and the humanities to explore these and other questions in this emerging field. Starting with an overview of the issues and relevant ethical theories, the topics flow naturally from the possibility of programming robot ethics to the ethical use of military robots in war to legal and policy questions, including liability and privacy concerns. The contributors then turn to human-robot emotional relationships, examining the ethical implications of robots as sexual partners, caregivers, and servants. Finally, they explore the possibility that robots, whether biological-computational hybrids or pure machines, should be given rights or moral consideration. Ethics is often slow to catch up with technological developments. This authoritative and accessible volume fills a gap in both scholarly literature and policy discussion, offering an impressive collection of expert analyses of the most crucial topics in this increasingly important field. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop 8220true consciousness.8221 It illustrates the critical first step towards reaching 8220deep learning8221 long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub a humanoid robot which learns to solve 3D mazes the book explores the challenges to create a robot that can perceive its own surroundings. Rather than relying solely on human programming the robot uses physical touch to develop a neural map of its environment and learns to change the environment for its own benefit. These techniques allow the iCub to accurately solve any maze if a solution exists within a few iterations. With clear analysis of the iCub experiments and its results this Springer Brief is ideal for advanced level students researchers and professionals focused on computer vision AI and machine learning. This book offers a helpful starting point in the scattered rich and complex body of literature on Mobile Information Retrieval (Mobile IR) reviewing more than 200 papers in nine chapters. Highlighting the most interesting and influential contributions that have appeared in recent years it particularly focuses on both user interaction and techniques for the perception and use of context which taken together shape much of today8217s research on Mobile IR.The book starts by addressing the differences between IR and Mobile IR while also reviewing the foundations of Mobile IR research. It then examines the different kinds of documents users and information needs that can be found in Mobile IR and which set it apart from standard IR. Next it discusses the two important issues of user interfaces and context-awareness. In closing it covers issues related to the evaluation of Mobile IR applications.Overall the book offers a valuable tool helping new and veteran researchers alike to navigate this exciting and highly dynamic area of research. This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter8217s APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples the present challenges and complexities of building visual analytic tools and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data Twitter is a prime example of social media in which researchers can verify their hypotheses and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers practitioners project managers as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis. Recording knowledge in a common framework that would make it possible to seamlessly share global knowledge remains an important challenge for researchers. This brief examines several ideas about the representation of knowledge addressing this challenge. A widespread general agreement is followed that states uniform knowledge representation should be achievable by using ontologies populated with concepts. A separate chapter is dedicated to each of the three introduced topics following a uniform outline definition organization and use. This brief is intended for those who want to get to know the field of knowledge representation quickly or would like to be up to date with current developments in the field. It is also useful for those dealing with implementation as examples of numerous operational systems are also given. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Benefits of Reading Books,Most people read to read and the benefits of reading are surplus. But what are the benefits of reading. Keep reading to find out how reading will help you and may even add years to your life!.The Benefits of Reading Books,What are the benefits of reading you ask? Down below we have listed some of the most common benefits and ones that you will definitely enjoy along with the new adventures provided by the novel you choose to read.,Exercise the Brain by Reading .When you read, your brain gets a workout. You have to remember the various characters, settings, plots and retain that information throughout the book. Your brain is doing a lot of work and you don’t even realize it. Which makes it the perfect exercise!