Organizational Unit:
Mobile Robot Laboratory

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Publication Search Results

Now showing 1 - 10 of 51
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    Accountable Autonomous Agents: The next level
    (Georgia Institute of Technology, 2009) Arkin, Ronald C.
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    Robot Deception: Recognizing when a Robot Should Deceive
    (Georgia Institute of Technology, 2009) Wagner, Alan R. ; Arkin, Ronald C.
    This article explores the possibility of developing robot control software capable of discerning when and if a robot should deceive. Exploration of this problem is critical for developing robots with deception capabilities and may lend valuable insight into the phenomena of deception itself. In this paper we explore deception from an interdependence/game theoretic perspective. Further, we develop and experimentally investigate an algorithm capable of indicating whether or not a particular social situation warrants deception on the part of the robot. Our qualitative and quantitative results provide evidence that, indeed, our algorithm recognizes situations which justify deception and that a robot capable of discerning these situations is better suited to act than one that does not.
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    Lek Behavior as a Model for Multi-Robot Systems
    (Georgia Institute of Technology, 2009-01-01) Duncan, Brittany A. ; Ulam, Patrick D. ; Arkin, Ronald C.
    Lek behavior is a biological mechanism used by male birds to attract mates by forming a group. This project explores the use of a biological behavior found in many species of birds to form leks to guide the creation of groups of robots. The lek behavior provides a sound basis for multi-robot formation because it demonstrates a group of individual entities forming up around a scarce resource. This behavior can be useful to robots in many situations, with an example scenario the case in which robots were dropped via parachute into an area and then needed to form meaningful task-oriented groups.
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    Beyond Humanoid Emotions: Incorporating Traits, Attitudes and Moods
    (Georgia Institute of Technology, 2009) Moshkina, Lilia ; Arkin, Ronald C.
    No longer does the idea of robot emotions seem far-fetched; not their experiential side, of course, but rather those manifestations of emotion, especially in robots created in human likeness, which would be beneficial for successful interaction with people. Nonetheless, the concept of robot emotions is still a new one, with a myriad of questions to be answered, not the least of which is: What is emotion? In robotics, it is often used as an umbrella term for all things affective, but based on our previous work (see [1] for a summary), we believe that it would be more beneficial to model each affective phenomenon explicitly. Going beyond emotions brings the entire spectrum of affect into play, providing a comprehensive framework with which human-robot interaction could be improved. The robotic framework we propose that combines a number of different phenomena and emphasizes their interconnectedness and synergy is called TAME (Traits, Attitudes, Moods, Emotions). By using TAME, in this paper we’d like to address some of the open questions that arise in the area of implementing and testing humanoid affect.
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    Lethality and Autonomous Systems: The Roboticist Demographic
    (Georgia Institute of Technology, 2008) Moshkina, Lilia ; Arkin, Ronald C.
    This paper reports the methods and results of an on-line survey addressing the issues surrounding lethality and autonomous systems that was conducted as part of a research project for the U.S. Army Research Office. The robotics researcher demographic, one of several targeted in this survey that includes policymakers, the military, and the general public, provides the data for this report. The design and administration of this survey and an analysis and discussion of the survey results are provided.
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    Analyzing Social Situations for Human-Robot Interaction
    (Georgia Institute of Technology, 2007) Wagner, Alan R. ; Arkin, Ronald C.
    This paper presents an algorithm for analyzing social situations within a robot. We contribute a method that allows the robot to use information about the situation to select interactive behaviors. This work is based on interdependence theory, a social psychological theory of interaction and interpersonal situation analysis. Experiments demonstrate the utility of the information provided by the situation analysis algorithm and of the value of this method for guiding robot interaction. We conclude that the situation analysis algorithm offers a viable, principled, and general approach to explore interactive robotics problems.
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    Multi-Method Learning and Assimilation
    (Georgia Institute of Technology, 2007) Takamuku, Shinya ; Arkin, Ronald C.
    Considering the wide range of possible behaviors to be acquired for domestic robots, applying a single learning method is clearly insufficient. In this paper, we propose a new strategy for behavior acquisition for domestic robots where the behaviors are acquired using multiple differing learning methods that are subsequently incorporated into a common behavior selection system, enabling them to be performed in appropriate situations. An example implementation of this strategy applied to the entertainment humanoid robot QRIO is introduced and the results are discussed.
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    Adaptive Teams of Autonomous Aerial and Ground Robots for Situational Awareness
    (Georgia Institute of Technology, 2007) Arkin, Ronald C. ; Endo, Yoichiro ; Chaimowicz, Luiz ; Cowley, Anthony ; Grocholsky, Ben ; Hsieh, Mong-ying A. ; Jung, Boyoon ; Keller, James F. ; Kumar, Vijay ; MacKenzie, Douglas Christopher ; Sukhatme, Gaurav S. ; Taylor, Camillo J. ; Wolf, Denis F.
    In this paper, we report on the integration challenges of the various component technologies developed towards the establishment of a framework for deploying an adaptive system of heterogeneous robots for urban surveillance. In our integrated experiment and demonstration, aerial robots generate maps that are used to design navigation controllers and plan missions for the team. A team of ground robots constructs a radio signal strength map that is used as an aid for planning missions. Multiple robots establish a mobile, ad-hoc communication network that is aware of the radio signal strength between nodes and can adapt to changing conditions to maintain connectivity. Finally, the team of aerial and ground robots is able to monitor a small village, and search for and localize human targets by the color of the uniform, while ensuring that the information from the team is available to a remotely located human operator. The key component technologies and contributions include (a) mission speci cation and planning software; (b) exploration and mapping of radio signal strengths in an urban environment; (c) programming abstractions and composition of controllers for multi-robot deployment; (d) cooperative control strategies for search, identi cation, and localization of targets; and (e) three-dimensional mapping in an urban setting.
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    Governing Lethal Behavior: Embedding Ethics in a Hybrid Deliberative/Reactive Robot Architecture
    (Georgia Institute of Technology, 2007) Arkin, Ronald C.
    This article provides the basis, motivation, theory, and design recommendations for the implementation of an ethical control and reasoning system potentially suitable for constraining lethal actions in an autonomous robotic system so that they fall within the bounds prescribed by the Laws of War and Rules of Engagement. It is based upon extensions to existing deliberative/reactive autonomous robotic architectures, and includes recommendations for (1) post facto suppression of unethical behavior, (2) behavioral design that incorporates ethical constraints from the onset, (3) the use of affective functions as an adaptive component in the event of unethical action, and (4) a mechanism in support of identifying and advising operators regarding the ultimate responsibility for the deployment of such a system.
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    On the Ethical Quandaries of a Practicing Roboticist: A First-Hand Look
    (Georgia Institute of Technology, 2007) Arkin, Ronald C.
    Robotics has progressed substantially over the last 20 years, moving from simple proof-of-concept experimental research to developing market and military technologies that have significant ethical consequences. This paper provides the reflections of a roboticist on current research directions within the field and the social implications associated with its conduct.