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Sliding Scale Autonomy and Trust in Human-robot Interaction
Autonomy defines what robots can do independently: the greater the autonomy, the more robots can do. However, giving more autonomy to robots does not always mean they can perform better. Adjustable autonomy systems solve this problem by providing multiple autonomy levels from which to select. The system designers select the autonomy levels based on what they think would be appropriate for the application. However there are circumstances where a required autonomy level is not provided. We designed a sliding scale autonomy system that provides a continuum of autonomy levels. We included a trust slider to ensure that the robot would take appropriate initiative in accordance with the level of trust that the user has of the robot. Our system was tested against two different adjustable autonomy systems for performance. Overall, users had fewer hits and lower run times with the sliding scale autonomy systems compared to the other two systems.
Mobile Robots
Revised and updated, the second edition includes several new chapters with projects and applications. The authors keep pace with the ever-growing and rapidly expanding field of robotics. The new edition reflects technological developments and includes programs and activities for robot enthusiasts. Using photographs, illustrations, and informative t
Introduction to AI Robotics
This text provides the material needed to understand the principles behind the AI approach to robotics and to programme an artificially intelligent robot for applications involving sensing, navigation, planning and uncertainty.
2017-2018 Assessment of the Army Research Laboratory
The Army Research Laboratory (ARL) is the corporate laboratory for the U.S. army, which bridges scientific and military communities. The ARL is critical in maintaining the United States' dominant military power through its advanced research and analysis capabilities. The National Academies of Sciences, Engineering, and Medicine's Army Research Laboratory Technical Assessment Board (ARLTAB) conducts biennial assessments of the scientific and technical quality of the facilities. These assessments are necessary to ensure that the ARL's resources and quality of programs are maximized. 2017-2018 Assessment of the Army Research Laboratory includes findings and recommendations regarding the quality of the ARL's research, development, and analysis programs. The report of the assessment is subdivided by the ARL's Science and Technology campaigns, including Materials Research, Sciences for Lethality and Protection, Information Sciences, Computational Sciences, Sciences for Maneuver, Human Sciences, and Analysis and Assessment. This biennial report summarizes the findings for the 2017-2018 period.
Virtual, Augmented and Mixed Reality. Applications and Case Studies
This two-volume set LNCS 11574 and 11575 constitutes the refereed proceedings of the 11th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2019, held in July 2019 as part of HCI International 2019 in Orlando, FL, USA. HCII 2019 received a total of 5029 submissions, of which 1275 papers and 209 posters were accepted for publication after a careful reviewing process. The 80 papers presented in this volume were organized in topical sections named: multimodal interaction in VR, rendering, layout, visualization and navigation, avatars, embodiment and empathy in VAMR, cognitive and health issues in VAMR, VAMR and robots, VAMR in learning, training and entertainment, VAMR in aviation, industry and the military.
Intelligent Human-Machine Collaboration
On June 12-14, 2012, the Board on Global Science and Technology held an international, multidisciplinary workshop in Washington, D.C., to explore the challenges and advances in intelligent human-machine collaboration (IH-MC), particularly as it applies to unstructured environments. This workshop convened researchers from a range of science and engineering disciplines, including robotics, human-robot and human-machine interaction, software agents and multi-agentsystems, cognitive sciences, and human-machine teamwork. Participants were drawn from research organizations in Australia, China, Germany, Israel, Italy, Japan, the Netherlands, the United Arab Emirates, the United Kingdom, and the Uni...
Robotics Research
This book contains the papers that were presented at the 17th International Symposium of Robotics Research (ISRR). The ISRR promotes the development and dissemination of groundbreaking research and technological innovation in robotics useful to society by providing a lively, intimate, forward-looking forum for discussion and debate about the current status and future trends of robotics with great emphasis on its potential role to benefit humankind. The symposium contributions contained in this book report on a variety of new robotics research results covering a broad spectrum organized into the categories: design, control; grasping and manipulation, planning, robot vision, and robot learning.
Robot Ethics 2.0
The robot population is rising on Earth and other planets. (Mars is inhabited entirely by robots.) As robots slip into more domains of human life--from the operating room to the bedroom--they take on our morally important tasks and decisions, as well as create new risks from psychological to physical. This makes it all the more urgent to study their ethical, legal, and policy impacts. To help the robotics industry and broader society, we need to not only press ahead on a wide range of issues, but also identify new ones emerging as quickly as the field is evolving. For instance, where military robots had received much attention in the past (and are still controversial today), this volume look...
Computer Vision
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.
