Autonomous Military Robotics: Risk, Ethics, and Design
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Artificial Intelligence and the Ethics of Self-Learning Robots Shannon Vallor Santa Clara University, [email protected]
Santa Clara University Scholar Commons Philosophy College of Arts & Sciences 10-3-2017 Artificial Intelligence and the Ethics of Self-learning Robots Shannon Vallor Santa Clara University, [email protected] George A. Bekey Follow this and additional works at: http://scholarcommons.scu.edu/phi Part of the Philosophy Commons Recommended Citation Vallor, S., & Bekey, G. A. (2017). Artificial Intelligence and the Ethics of Self-learning Robots. In P. Lin, K. Abney, & R. Jenkins (Eds.), Robot Ethics 2.0 (pp. 338–353). Oxford University Press. This material was originally published in Robot Ethics 2.0 edited by Patrick Lin, Keith Abney, and Ryan Jenkins, and has been reproduced by permission of Oxford University Press. For permission to reuse this material, please visit http://www.oup.co.uk/academic/rights/permissions. This Book Chapter is brought to you for free and open access by the College of Arts & Sciences at Scholar Commons. It has been accepted for inclusion in Philosophy by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. ARTIFICIAL INTELLIGENCE AND 22 THE ETHICS OF SELF - LEARNING ROBOTS Shannon Va ll or and George A. Bekey The convergence of robotics technology with the science of artificial intelligence (or AI) is rapidly enabling the development of robots that emulate a wide range of intelligent human behaviors.1 Recent advances in machine learning techniques have produced significant gains in the ability of artificial agents to perform or even excel in activities for merly thought to be the exclusive province of human intelligence, including abstract problem-solving, perceptual recognition, social interaction, and natural language use. -
Remote and Autonomous Controlled Robotic Car Based on Arduino with Real Time Obstacle Detection and Avoidance
Universal Journal of Engineering Science 7(1): 1-7, 2019 http://www.hrpub.org DOI: 10.13189/ujes.2019.070101 Remote and Autonomous Controlled Robotic Car based on Arduino with Real Time Obstacle Detection and Avoidance Esra Yılmaz, Sibel T. Özyer* Department of Computer Engineering, Çankaya University, Turkey Copyright©2019 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract In robotic car, real time obstacle detection electronic devices. The environment can be any physical and obstacle avoidance are significant issues. In this study, environment such as military areas, airports, factories, design and implementation of a robotic car have been hospitals, shopping malls, and electronic devices can be presented with regards to hardware, software and smartphones, robots, tablets, smart clocks. These devices communication environments with real time obstacle have a wide range of applications to control, protect, image detection and obstacle avoidance. Arduino platform, and identification in the industrial process. Today, there are android application and Bluetooth technology have been hundreds of types of sensors produced by the development used to implementation of the system. In this paper, robotic of technology such as heat, pressure, obstacle recognizer, car design and application with using sensor programming human detecting. Sensors were used for lighting purposes on a platform has been presented. This robotic device has in the past, but now they are used to make life easier. been developed with the interaction of Android-based Thanks to technology in the field of electronics, incredibly device. -
Rebecca Farden Information Technology 101 Term Paper the US Military Uses Some of the Most Advanced Technologies Known to Man, O
Rebecca Farden Information Technology 101 Term Paper Use of Robotics in the US Military The US military uses some of the most advanced technologies known to man, one main segment being robotics. As this growing field of research is being developed, militaries around the world are beginning to use technologies that may change the way wars are fought. The trend we are currently seeing is an increase in unmanned weaponry, and decrease in actual human involvement in combat. Spending on research in this area is growing drastically and it is expected to continue. Thus far, robotics have been viewed as a positive development in their militaristic function, but as this field advances, growing concerns about their use and implications are arising. Currently, robotics in the military are used in a variety of ways, and new developments are constantly surfacing. For example, the military uses pilotless planes to do surveillance, and unmanned aerial attacks called “drone” strikes (Hodge). These attacks have been frequently used in Iraq in Pakistan in the past several years. Robotics have already proved to be very useful in other roles as well. Deputy commanding general of the Army Maneuver Support Center Rebecca Johnson said “robots are useful for chemical detection and destruction; mine clearing, military police applications and intelligence” (Farrell). Robots that are controlled by soldiers allow for human control without risking a human life. BomBots are robots that are have been used in the middle east to detonate IEDs (improvised explosive devices), keeping soldiers out of this very dangerous situation (Atwater). These uses of robots have been significant advances in the way warfare is carried out, but we are only scratching the surface of the possibilities of robotics in military operations. -
Autonomous Vehicles in Support of Naval Operations Committee on Autonomous Vehicles in Support of Naval Operations, National Research Council
Autonomous Vehicles in Support of Naval Operations Committee on Autonomous Vehicles in Support of Naval Operations, National Research Council ISBN: 0-309-55115-3, 256 pages, 6 x 9, (2005) This free PDF was downloaded from: http://www.nap.edu/catalog/11379.html Visit the National Academies Press online, the authoritative source for all books from the National Academy of Sciences, the National Academy of Engineering, the Institute of Medicine, and the National Research Council: • Download hundreds of free books in PDF • Read thousands of books online, free • Sign up to be notified when new books are published • Purchase printed books • Purchase PDFs • Explore with our innovative research tools Thank you for downloading this free PDF. If you have comments, questions or just want more information about the books published by the National Academies Press, you may contact our customer service department toll-free at 888-624-8373, visit us online, or send an email to [email protected]. This free book plus thousands more books are available at http://www.nap.edu. Copyright © National Academy of Sciences. Permission is granted for this material to be shared for noncommercial, educational purposes, provided that this notice appears on the reproduced materials, the Web address of the online, full authoritative version is retained, and copies are not altered. To disseminate otherwise or to republish requires written permission from the National Academies Press. Autonomous Vehicles in Support of Naval Operations http://www.nap.edu/catalog/11379.html AUTONOMOUS VEHICLES IN SUPPORT OF NAVAL OPERATIONS Committee on Autonomous Vehicles in Support of Naval Operations Naval Studies Board Division on Engineering and Physical Sciences THE NATIONAL ACADEMIES PRESS Washington, D.C. -
Martine Rothblatt
For more information contact us on: North America 855.414.1034 International +1 646.307.5567 [email protected] Martine Rothblatt Topics Activism and Social Justice, Diversity and Inclusion, Health and Wellness, LGBTQIA+, Lifestyle, Science and Technology Travels From Maryland Bio Martine Rothblatt, Ph.D., MBA, J.D. is one of the most exciting and innovative voices in the world of business, technology, and medicine. She was named by Forbes as one of the "100 Greatest Living Business Minds of the past 100 years" and one of America's Self-Made Women of 2019. After graduating from UCLA with a law and MBA degree, Martine served as President & CEO of Dr. Gerard K. O’Neill’s satellite navigation company, Geostar. The satellite system she launched in 1986 continues to operate today, providing service to certain government agencies. She also created Sirius Satellite Radio in 1990, serving as its Chairman and CEO. In the years that followed, Martine Rothblatt’s daughter was diagnosed with life-threatening pulmonary hypertension. Determined to find a cure, she left the communications business and entered the world of medical biotechnology. She earned her Ph.D. in medical ethics at the Royal London College of Medicine & Dentistry and founded the United Therapeutics Corporation in 1996. The company focuses on the development and commercialization of page 1 / 4 For more information contact us on: North America 855.414.1034 International +1 646.307.5567 [email protected] biotechnology in order to address the unmet medical needs of patients with chronic and life-threatening conditions. Since then, she has become the highest-paid female CEO in America. -
AI, Robots, and Swarms: Issues, Questions, and Recommended Studies
AI, Robots, and Swarms Issues, Questions, and Recommended Studies Andrew Ilachinski January 2017 Approved for Public Release; Distribution Unlimited. This document contains the best opinion of CNA at the time of issue. It does not necessarily represent the opinion of the sponsor. Distribution Approved for Public Release; Distribution Unlimited. Specific authority: N00014-11-D-0323. Copies of this document can be obtained through the Defense Technical Information Center at www.dtic.mil or contact CNA Document Control and Distribution Section at 703-824-2123. Photography Credits: http://www.darpa.mil/DDM_Gallery/Small_Gremlins_Web.jpg; http://4810-presscdn-0-38.pagely.netdna-cdn.com/wp-content/uploads/2015/01/ Robotics.jpg; http://i.kinja-img.com/gawker-edia/image/upload/18kxb5jw3e01ujpg.jpg Approved by: January 2017 Dr. David A. Broyles Special Activities and Innovation Operations Evaluation Group Copyright © 2017 CNA Abstract The military is on the cusp of a major technological revolution, in which warfare is conducted by unmanned and increasingly autonomous weapon systems. However, unlike the last “sea change,” during the Cold War, when advanced technologies were developed primarily by the Department of Defense (DoD), the key technology enablers today are being developed mostly in the commercial world. This study looks at the state-of-the-art of AI, machine-learning, and robot technologies, and their potential future military implications for autonomous (and semi-autonomous) weapon systems. While no one can predict how AI will evolve or predict its impact on the development of military autonomous systems, it is possible to anticipate many of the conceptual, technical, and operational challenges that DoD will face as it increasingly turns to AI-based technologies. -
AUV Adaptive Sampling Methods: a Review
applied sciences Review AUV Adaptive Sampling Methods: A Review Jimin Hwang 1 , Neil Bose 2 and Shuangshuang Fan 3,* 1 Australian Maritime College, University of Tasmania, Launceston 7250, TAS, Australia; [email protected] 2 Department of Ocean and Naval Architectural Engineering, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada; [email protected] 3 School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, China * Correspondence: [email protected] Received: 16 July 2019; Accepted: 29 July 2019; Published: 2 August 2019 Abstract: Autonomous underwater vehicles (AUVs) are unmanned marine robots that have been used for a broad range of oceanographic missions. They are programmed to perform at various levels of autonomy, including autonomous behaviours and intelligent behaviours. Adaptive sampling is one class of intelligent behaviour that allows the vehicle to autonomously make decisions during a mission in response to environment changes and vehicle state changes. Having a closed-loop control architecture, an AUV can perceive the environment, interpret the data and take follow-up measures. Thus, the mission plan can be modified, sampling criteria can be adjusted, and target features can be traced. This paper presents an overview of existing adaptive sampling techniques. Included are adaptive mission uses and underlying methods for perception, interpretation and reaction to underwater phenomena in AUV operations. The potential for future research in adaptive missions is discussed. Keywords: autonomous underwater vehicle(s); maritime robotics; adaptive sampling; underwater feature tracking; in-situ sensors; sensor fusion 1. Introduction Autonomous underwater vehicles (AUVs) are unmanned marine robots. Owing to their mobility and increased ability to accommodate sensors, they have been used for a broad range of oceanographic missions, such as surveying underwater plumes and other phenomena, collecting bathymetric data and tracking oceanographic dynamic features. -
RS Media User Manual
A Fusion of technology and Personality User Manual North America Item No. 8061 | Ages 8+ CAUTION - ELECTRICAL TOY: NOT RECOMMENDED FOR CHILDREN UNDER 4 YEARS OF AGE. AS WITH ALL ELECTRICAL PRODUCTS, PRECAUTIONS SHOULD BE OBSERVED DURING HANDLING AND USE TO PREVENT ELECTRICAL SHOCK. INPUT: AC100-240V, 50/60HZ OUTPUT: DC 7.5V 3.1A COPYRIGHT INFORMATION RS Media™, Robosapien™, Robosapien™ V2, Roboreptile™, Robopet™, and Roboraptor™ are copyright and trademarked by Wowwee Ltd. Sun Microsystems and Java are registered trademarks of Sun Microsystems, Inc. All other copyrights are hereby acknowledged. sYsTeM RequIReMeNTs Minimum system requirements for running RS Media Editing Suite. Microsoft® Windows® XP SP2 or higher (English Edition) (Compatible with German, Spanish, French, and Italian Windows® XP SP2 or higher) PC with PIII 1.5GHz equivalent or higher processor 256 MB of system RAM 16 MB video card recommended 200 MB available hard disk space CD-ROM drive Supply of this product does not convey a license nor imply any right to distribute content created with this product in revenue-generating broadcast systems (terrestrial, satellite, cable and/or other distribution channels), streaming applications (via Internet, intranets and/or other networks), other content distribution systems (pay-audio or audio-on- demand applications and the like) or on physical media (compact discs, digital versatile discs, semiconductor chips, hard drives, memory cards and the like). An independent license for such use is required. For details, please visit http://mp3licensing.com. WELCOME Congratulations on choosing Rs Media™, the next generation of Robosapien technology and personality. RS Media is a complete multimedia robotic experience with the unique ability to be fully customized. -
Cybernetic Human HRP-4C: a Humanoid Robot with Human-Like Proportions
Cybernetic Human HRP-4C: A humanoid robot with human-like proportions Shuuji KAJITA, Kenji KANEKO, Fumio KANEIRO, Kensuke HARADA, Mitsuharu MORISAWA, Shin’ichiro NAKAOKA, Kanako MIURA, Kiyoshi FUJIWARA, Ee Sian NEO, Isao HARA, Kazuhito YOKOI, Hirohisa HIRUKAWA Abstract Cybernetic human HRP-4C is a humanoid robot whose body dimensions were designed to match the average Japanese young female. In this paper, we ex- plain the aim of the development, realization of human-like shape and dimensions, research to realize human-like motion and interactions using speech recognition. 1 Introduction Cybernetics studies the dynamics of information as a common principle of com- plex systems which have goals or purposes. The systems can be machines, animals or a social systems, therefore, cybernetics is multidiciplinary from its nature. Since Norbert Wiener advocated the concept in his book in 1948[1], the term has widely spreaded into academic and pop culture. At present, cybernetics has diverged into robotics, control theory, artificial intelligence and many other research fields, how- ever, the original unified concept has not yet lost its glory. Robotics is one of the biggest streams that branched out from cybernetics, and its goal is to create a useful system by combining mechanical devices with information technology. From a practical point of view, a robot does not have to be humanoid; nevertheless we believe the concept of cybernetics can justify the research of hu- manoid robots for it can be an effective hub of multidiciplinary research. WABOT-1, -
Development of an Open Humanoid Robot Platform for Research and Autonomous Soccer Playing
Development of an Open Humanoid Robot Platform for Research and Autonomous Soccer Playing Karl J. Muecke and Dennis W. Hong RoMeLa: Robotics and Mechanisms Lab Virginia Tech Blacksburg, VA 24061 [email protected], [email protected] Abstract This paper describes the development of a fully autonomous humanoid robot for locomotion research and as the first US entry in to RoboCup. DARwIn (Dynamic Anthropomorphic Robot with Intelligence) is a humanoid robot capable of bipedal walking and performing human like motions. As the years have progressed, DARwIn has evolved from a concept to a sophisticated robot platform. DARwIn 0 was a feasibility study that investigated the possibility of making a humanoid robot walk. Its successor, DARwIn I, was a design study that investigated how to create a humanoid robot with human proportions, range of motion, and kinematic structure. DARwIn IIa built on the name ªhumanoidº by adding autonomy. DARwIn IIb improved on its predecessor by adding more powerful actuators and modular computing components. Finally, DARwIn III is designed to take the best of all the designs and incorporate the robot's most advanced motion control yet. Introduction Dynamic Anthropomorphic Robot with Intelligence (DARwIn), a humanoid robot, is a sophisticated hardware platform used for studying bipedal gaits that has evolved over time. Five versions of DARwIn have been developed, each an improvement on its predecessor. The first version, DARwIn 0 (Figure 1a), was used as a design study to determine the feasibility of creating a humanoid robot abd for actuator evaluation. The second version, DARwIn I (Figure 1b), used improved gaits and software. -
An Ethical Framework for Smart Robots Mika Westerlund
An Ethical Framework for Smart Robots Mika Westerlund Never underestimate a droid. Leia Organa Star Wars: The Rise of Skywalker This article focuses on “roboethics” in the age of growing adoption of smart robots, which can now be seen as a new robotic “species”. As autonomous AI systems, they can collaborate with humans and are capable of learning from their operating environment, experiences, and human behaviour feedback in human-machine interaction. This enables smart robots to improve their performance and capabilities. This conceptual article reviews key perspectives to roboethics, as well as establishes a framework to illustrate its main ideas and features. Building on previous literature, roboethics has four major types of implications for smart robots: 1) smart robots as amoral and passive tools, 2) smart robots as recipients of ethical behaviour in society, 3) smart robots as moral and active agents, and 4) smart robots as ethical impact-makers in society. The study contributes to current literature by suggesting that there are two underlying ethical and moral dimensions behind these perspectives, namely the “ethical agency of smart robots” and “object of moral judgment”, as well as what this could look like as smart robots become more widespread in society. The article concludes by suggesting how scientists and smart robot designers can benefit from a framework, discussing the limitations of the present study, and proposing avenues for future research. Introduction capabilities (Lichocki et al., 2011; Petersen, 2007). Hence, Lin et al. (2011) define a “robot” as an Robots are becoming increasingly prevalent in our engineered machine that senses, thinks, and acts, thus daily, social, and professional lives, performing various being able to process information from sensors and work and household tasks, as well as operating other sources, such as an internal set of rules, either driverless vehicles and public transportation systems programmed or learned, that enables the machine to (Leenes et al., 2017). -
Monash Robotics and Mechatronics Engineering
MONASH ROBOTICS AND MECHATRONICS ENGINEERING monash.edu/engineering/ robotics-mechatronics WHAT DO ROBOTICS WHAT IS AND MECHATRONICS ROBOTICS AND ENGINEERS DO? Key to robotics and mechatronics engineering is the ability to analyse and design complex MECHATRONICS machines and systems, which often involve automation. Robotics and mechatronics engineers work with instrumentation, sensors and computer systems. They use these to control movement, optimise processes, ENGINEERING? monitor systems and detect faults. Robotics and mechatronics engineers can be found working in transport, manufacturing, healthcare and construction, particularly in Robotics and mechatronics are places where automation can improve efficiency and productivity, and where multidisciplinary fields of engineering reliability and safety are essential to that combine mechanical engineering, engineering operations. computing, electronics and control theory. They design and develop robots to operate in collaboration with humans, and control At the forefront of rapidly transforming technologies, robotics and systems for vehicles, aircraft, machinery, mechatronics engineers work to design robots and improve the production lines and can now be found automation, performance, features and functionality of products working in biotechnology and biomedicine. and systems with a mix of mechanical and electronic components. Being multidisciplinary in nature, robotics and As a robotics or mechatronics engineer you could design aircraft mechatronics engineers are highly skilled at avionics for autonomous drones, build robots for industry or medicine, managing projects and teams which bridge develop systems based on smartphones, or help robots understand the traditional areas of mechanical and human behaviour. Robotics and mechatronics engineering is also electrical engineering. used in the development, design and operation of processes and production lines needed to make most consumer products.