The Ftc And Ai Governance: A Regulatory Proposal, 2020 Seattle University School of Law
The Ftc And Ai Governance: A Regulatory Proposal, Michael Spiro
Seattle Journal of Technology, Environmental & Innovation Law
No abstract provided.
Minet Magnetic Localization, 2020 University of Mississippi
Minet Magnetic Localization, Michael Robert Drake
Indoor localization is a modern problem of computer science that has no unified solution, as there are significant trade-offs involved with every technique. Magnetic localization is a less popular sub-field that is rooted in infrastructure-free design, which can allow universal setup. Magnetic localization is also often paired with probabilistic programming, which provides a powerful method of estimation, given a limited understanding of the environment. This thesis presents Minet, which is a particle filter based localization system using the Earth's geomagnetic field. It explores the novel idea of state space limitation as a method of optimizing a particle filter, by ...
Using Taint Analysis And Reinforcement Learning (Tarl) To Repair Autonomous Robot Software, 2020 Fordham University
Using Taint Analysis And Reinforcement Learning (Tarl) To Repair Autonomous Robot Software, Damian Lyons, Saba Zahra
It is important to be able to establish formal performance bounds for autonomous systems. However, formal verification techniques require a model of the environment in which the system operates; a challenge for autonomous systems, especially those expected to operate over longer timescales. This paper describes work in progress to automate the monitor and repair of ROS-based autonomous robot software written for an a-priori partially known and possibly incorrect environment model. A taint analysis method is used to automatically extract the data-flow sequence from input topic to publish topic, and instrument that code. A unique reinforcement learning approximation of MDP utility ...
Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, 2020 Southern Methodist University
Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, Steven Bramhall, Hayley Horn, Michael Tieu, Nibhrat Lohia
SMU Data Science Review
In this paper, we introduce a proof of concept that addresses the assumption and limitation of linear local boundaries by Local Interpretable Model-Agnostic Explanations (LIME), a popular technique used to add interpretability and explainability to black box models. LIME is a versatile explainer capable of handling different types of data and models. At the local level, LIME creates a linear relationship for a given prediction through generated sample points to present feature importance. We redefine the linear relationships presented by LIME as quadratic relationships and expand its flexibility in non-linear cases and improve the accuracy of feature interpretations. We coin ...
Olivet Robotics, 2020 Olivet Nazarene University
Olivet Robotics, Caroline Orndorff, Allann Davidson, Jared Haworth, Nicholas Mills
Scholar Week 2016 - present
The VEX Robotics Competition is a challenging event series for elementary to university students. Each year, VEX creates thought provoking games with goals that must be accomplished via robotics. The question ONU Robotics Team must answer is “how can one create the most effective strategies in order to win?” during the 2019-2020 Tower Takeover Game. The ONU Robotics Senior Design Team (ORSeT) will work to answer this question with principles from Electrical Engineering, Mechanical Engineering, and Computer Science. ORSeT will use this opportunity to not only create a winning robot, but also to challenge team members’ creative abilities and engineering ...
Vex U Robotics, 2020 Embry-Riddle Aeronautical University
Vex U Robotics, Kyle Lutterman, Jeffrey Ryan, Sierra Wong, Elizabeth Geiger
Discovery Day - Prescott
VEX U is a competition hosted by the REC Foundation for university students to get engaged in hands-on engineering. Each team produces two robots using the VEX provided parts to compete in the VEX U competition. The competition changes every year with the only constants being the size of the field, the tools and parts teams are able to use, and the size constraints of the robots. The teams compete in regional competitions in order to qualify for the World Championship Competition, which is the highest competition a team can compete in for VEX U. The VEX U teams at ...
Tech Comm Eagle Eye-Tracking Control System, 2020 Embry-Riddle Aeronautical University
Tech Comm Eagle Eye-Tracking Control System, Gabiella Lail, Robert Shaw, Hunter Smatla, Matthew Gary
Discovery Day - Prescott
Mobile eye-tracking systems provide usability research support as well as access to a wide range of robotics and technical communication research opportunities. Optical tracking systems are often prohibitively expensive and do not provide the mobility or flexibility needed for a variety of research application possibilities. Our team proposes building a simple mobile eye-tracking system to be used in-house at ERAU for heat-mapping, robotics, control systems, and various technical communication applications in a structured research environment. The mobile eyetracking system will become part of a larger research and hands-on technical communication usability lab and research center. The research team intends to ...
Drone Proximity Detection Via Air Disturbance Analysis, 2020 Fordham University
Drone Proximity Detection Via Air Disturbance Analysis, Qian Zhao, Jason Hughes
The use of unmanned aerial vehicles (drones) is expanding to commercial, scientific, and agriculture applications, including surveillance, product deliveries and aerial photography. One challenge for applications of drones is detecting obstacles and avoiding collisions. A typical solution to this issue is the use of camera sensors or ultrasonic sensors for obstacle detection or sometimes just manual control (teleoperation). However, these solutions have costs in battery lifetime, payload, operator skill. We note that there will be an air disturbance in the vicinity of the drone when it’s moving close to obstacles or other drones. Our objective is to detect obstacles ...
Using Supercomputers To Control Multiple Robots, 2020 Southwestern Oklahoma State University
Using Supercomputers To Control Multiple Robots, Andrew Roberts, Jeremy Evert
Supercomputers have been a key enabler to many technological advancements. The pipeline to develop capable supercomputer users is years long. Getting started with a supercomputer can be difficult. As a part of the XSEDE EMPOWER Learner program, this research focuses super-computer user development. SWOSU students do not have working code for many of the training modules available for learning supercomputing. This research details the development of these codes based on materials provided by the Nation-al Science Foundation, Shodor Foundation, and National Center for Supercomputing Applications. The result of this research is a better understand-ing of supercomputing training and more tools ...
A New Ectotherm 3d Tracking And Behavior Analytics System Using A Depth-Based Approach With Color Validation, With Preliminary Data On Kihansi Spray Toad (Nectophrynoides Asperginis) Activity, 2020 Fordham University
A New Ectotherm 3d Tracking And Behavior Analytics System Using A Depth-Based Approach With Color Validation, With Preliminary Data On Kihansi Spray Toad (Nectophrynoides Asperginis) Activity, Philip Bal, Damian Lyons, Avishai Shuter
The Kihansi spray toad (Nectophrynoides asperginis), classified as Extinct in the Wild by the IUCN, is being bred at the Wildlife Conservation Society’s (WCS) Bronx Zoo as part of an effort to successfully reintroduce the species into the wild. Thousands of toads live at the Bronx Zoo presenting an opportunity to learn more about their behaviors for the first time, at scale. It is impractical to perform manual observations for long periods of time. This paper reports on the development of a RGB-D tracking and analytics approach that allows researchers to accurately and efficiently gather information about the toads ...
Artificial Intelligence Ethics: Governance Through Social Media, 2020 U.S. Army CCDC-AC
Artificial Intelligence Ethics: Governance Through Social Media, Ross Arnold, Jorge Buenfil, Benjamin Abruzzo, Christopher Korpela
West Point Research Papers
A proposal is presented to facilitate machine self-learning of ethical behavior via human-curated training using online human behavioral data such as that found on social media and related sites. The proposed training data set is a mixture of human behavioral data found on social media and related sites that exhibit a wide variety of both ethical and unethical behavior which can help an artificially intelligent machine make ethical decisions during the process of solving real-world problems. The rapid proliferation of artificial intelligence (AI) applications worldwide highlights the need for normativity to protect individual rights, such as privacy, and the promotion ...
Techniques To Solve Decision-Making Problems, 2020 Scientific and Innovation Center of Information and Communication Technologies at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Address: Amir Temurstreet, 108, 100200, Tashkent city, Republic of Uzbekistan, Phone:+998-95-195-47-52
Techniques To Solve Decision-Making Problems, Dilnoz Tulkunovna Muhamediyeva, Bekmuratov Fayzievich Tulkun
Chemical Technology, Control and Management
Solving decision-making problems in poorly formalized systems only with the help of deterministic and probabilistic methods is insufficient. To do this, it is necessary to widely apply the methods of hybrid intelligent systems and, especially, the methods of “soft” calculations (SoftCalculation, SoftComputing) and the directions of ComputationalIntelligence — intelligent computing technologies that are emerging on this theoretical and methodological base. An immune - fuzzy algorithm for the synthesis of fuzzy inference systems (FIS) is proposed. A two-stage adaptive FIS synthesis algorithm is described. At the first stage, the initial fuzzy parameters are clustered in order to reduce the number of input parameters ...
Human-Machine Communication: Complete Volume. Volume 1, 2020 University of Central Florida
Human-Machine Communication: Complete Volume. Volume 1
This is the complete volume of HMC Volume 1.
Sharing Stress With A Robot: What Would A Robot Say?, 2020 University of Washington
Sharing Stress With A Robot: What Would A Robot Say?, Honson Y. Ling, Elin A. Björling
With the prevalence of mental health problems today, designing human-robot interaction for mental health intervention is not only possible, but critical. The current experiment examined how three types of robot disclosure (emotional, technical, and by-proxy) affect robot perception and human disclosure behavior during a stress-sharing activity. Emotional robot disclosure resulted in the lowest robot perceived safety. Post-hoc analysis revealed that increased perceived stress predicted reduced human disclosure, user satisfaction, robot likability, and future robot use. Negative attitudes toward robots also predicted reduced intention for future robot use. This work informs on the possible design of robot disclosure, as well as ...
The Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions To Use Social Robots, 2020 BI Norwegian Business School
The Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions To Use Social Robots, Christoph Lutz, Aurelia Tamò-Larrieux
Conceptual research on robots and privacy has increased but we lack empirical evidence about the prevalence, antecedents, and outcomes of different privacy concerns about social robots. To fill this gap, we present a survey, testing a variety of antecedents from trust, technology adoption, and robotics scholarship. Respondents are most concerned about data protection on the manufacturer side, followed by social privacy concerns and physical concerns. Using structural equation modeling, we find a privacy paradox, where the perceived benefits of social robots override privacy concerns.
Building A Stronger Casa: Extending The Computers Are Social Actors Paradigm, 2020 Penn State University
Building A Stronger Casa: Extending The Computers Are Social Actors Paradigm, Andrew Gambino, Jesse Fox, Rabindra A. Ratan
The computers are social actors framework (CASA), derived from the media equation, explains how people communicate with media and machines demonstrating social potential. Many studies have challenged CASA, yet it has not been revised. We argue that CASA needs to be expanded because people have changed, technologies have changed, and the way people interact with technologies has changed. We discuss the implications of these changes and propose an extension of CASA. Whereas CASA suggests humans mindlessly apply human-human social scripts to interactions with media agents, we argue that humans may develop and apply human-media social scripts to these interactions. Our ...
Me And My Robot Smiled At One Another: The Process Of Socially Enacted Communicative Affordance In Human-Machine Communication, 2020 Universidad Adolfo Ibáñez
Me And My Robot Smiled At One Another: The Process Of Socially Enacted Communicative Affordance In Human-Machine Communication, Carmina Rodríguez-Hidalgo
The term affordance has been inconsistently applied both in robotics and communication. While the robotics perspective is mostly object-based, the communication science view is commonly user-based. In an attempt to bring the two perspectives together, this theoretical paper argues that social robots present new social communicative affordances emerging from a two-way relational process. I first explicate conceptual approaches of affordance in robotics and communication. Second, a model of enacted communicative affordance in the context of Human-Machine Communication (HMC) is presented. Third and last, I explain how a pivotal social robot characteristic—embodiment—plays a key role in the process of ...
Ontological Boundaries Between Humans And Computers And The Implications For Human-Machine Communication, 2020 Northern Illinois University
Ontological Boundaries Between Humans And Computers And The Implications For Human-Machine Communication, Andrea L. Guzman
In human-machine communication, people interact with a communication partner that is of a different ontological nature from themselves. This study examines how people conceptualize ontological differences between humans and computers and the implications of these differences for human-machine communication. Findings based on data from qualitative interviews with 73 U.S. adults regarding disembodied artificial intelligence (AI) technologies (voice-based AI assistants, automated-writing software) show that people differentiate between humans and computers based on origin of being, degree of autonomy, status as tool/tool-user, level of intelligence, emotional capabilities, and inherent flaws. In addition, these ontological boundaries are becoming increasingly blurred as ...
Toward An Agent-Agnostic Transmission Model: Synthesizing Anthropocentric And Technocentric Paradigms In Communication, Jaime Banks, Maartje M. A. De Graaf
Technological and social evolutions have prompted operational, phenomenological, and ontological shifts in communication processes. These shifts, we argue, trigger the need to regard human and machine roles in communication processes in a more egalitarian fashion. Integrating anthropocentric and technocentric perspectives on communication, we propose an agent-agnostic framework for human-machine communication. This framework rejects exclusive assignment of communicative roles (sender, message, channel, receiver) to traditionally held agents and instead focuses on evaluating agents according to their functions as a means for considering what roles are held in communication processes. As a first step in advancing this agent-agnostic perspective, this theoretical paper ...
A Monte Carlo Approach To Closing The Reality Gap, 2020 Fordham University
A Monte Carlo Approach To Closing The Reality Gap, Damian Lyons, James Finocchiaro, Michael Novitzky, Christopher Korpela
We propose a novel approach to the ’reality gap’ problem, i.e., modifying a robot simulation so that its performance becomes more similar to observed real world phenomena. This problem arises whether the simulation is being used by human designers or in an automated policy development mechanism. We expect that the program/policy is developed using simulation, and subsequently deployed on a real system. We further assume that the program includes a monitor procedure with scalar output to determine when it is achieving its performance objectives. The proposed approach collects simulation and real world observations and builds conditional probability functions ...