Organizational Unit:
Mobile Robot Laboratory

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Publication Search Results

Now showing 1 - 6 of 6
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    The Benefits of Robot Deception in Search and Rescue: Computational Approach for Deceptive Action Selection via Case-Based Reasoning
    (Georgia Institute of Technology, 2015-10) Shim, Jaeeun ; Arkin, Ronald C.
    By increasing the use of autonomous rescue robots in search and rescue (SAR), the chance of interaction between rescue robots and human victims also grows. More specifically, when autonomous rescue robots are considered in SAR, it is important for robots to handle sensitively human victims’ emotions. Deception can potentially be used effectively by robots to control human victims’ fear and shock as used by human rescuers. In this paper, we introduce robotic deception in SAR contexts and present a novel computational approach for an autonomous rescue robot’s deceptive action selection mechanism.
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    An Intervening Ethical Governor for a Robot Mediator in Patient-Caregiver Relationships
    (Georgia Institute of Technology, 2015) Shim, Jaeeun ; Arkin, Ronald C.
    Patients with Parkinson’s disease (PD) experience challenges when interacting with caregivers due to their declining control over their musculature. To remedy those challenges, a robot mediator can be used to assist in the relationship between PD patients and their caregivers. In this context, a variety of ethical issues can arise. To overcome one issue in particular, providing therapeutic robots with a robot architecture that can ensure patients’ and caregivers’ dignity is of potential value. In this paper, we describe an intervening ethical governor for a robot that enables it to ethically intervene, both to maintain effective patient–caregiver relationships and prevent the loss of dignity.
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    Other-Oriented Robot Deception: A Computational Approach for Deceptive Action Generation to Benefit the Mark
    (Georgia Institute of Technology, 2014) Shim, Jaeeun ; Arkin, Ronald C.
    Social robots can benefit by adding deceptive capabilities. In particular, robotic deception should benefit the deceived human partners when used in the context of human-robot interaction (HRI). We define this kind of robotic deception as a robot’s other-oriented deception and aimed to add these capabilities to the robotic systems. Toward that end, we develop a computational model inspired by criminological definition of deception. In this paper, we establish a definition of other-oriented robotic deception in HRI and present a novel model that can enable a humanoid robot to autonomously generate other-oriented deceptive actions during the interaction.
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    Robot Deception and Squirrel Behavior: A Case Study in Bio-inspired Robotics
    (Georgia Institute of Technology, 2014) Shim, Jaeeun ; Arkin, Ronald C.
    A common behavior in animals and human beings is deception. Deceptive behavior in robotics is potentially beneficial in several domains ranging from the military to a more everyday context. In our research, novel algorithms were developed for the deceptive behavior of a robot, inspired by the observed deceptive behavior of squirrels for cache protection strategies, then evaluating the results via simulation studies. In this paper, we present this bio-inspired algorithm for robot deception and observe whether the algorithm is truly applicable in actual robot systems.
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    A Taxonomy of Robot Deception and its Benefits in HRI
    (Georgia Institute of Technology, 2013) Shim, Jaeeun ; Arkin, Ronald C.
    Deception is a common and essential behavior in humans. Since human beings gain many advantages from deceptive capabilities, we can also assume that robotic deception can provide benefits in several ways. Particularly, the use of robotic deception in human-robot interaction contexts is becoming an important and interesting research question. Despite its importance, very little research on robot deception has been conducted. Furthermore, no basic metrics or definitions of robot deception have been proposed yet. In this paper, we review the previous work on deception in various fields including psychology, biology, and robotics and will propose a novel way to define a taxonomy of robot deception. In addition, we will introduce an interesting research question of robot deception in HRI contexts and discuss potential approaches.
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    Biologically-Inspired Deceptive Behavior for a Robot
    (Georgia Institute of Technology, 2012) Shim, Jaeeun ; Arkin, Ronald C.
    A common behavior in animals or human beings is deception. We focus on deceptive behavior in robotics because the appropriate use of deception is beneficial in several domains ranging from the military to a more everyday context. In this research, novel algorithms are developed for the deceptive behavior of a robot, inspired by the observed deceptive behavior of squirrels for cache protection strategies, evaluating the results via simulation studies.