Organizational Unit:
Mobile Robot Laboratory

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Publication Search Results

Now showing 1 - 10 of 166
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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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    A Primate-inspired Autonomous Navigation Algorithm Using the Cognitive Mechanism of Mental Rotation
    (Georgia Institute of Technology, 2014) Pettinati, Michael J. ; Arkin, Ronald C.
    Though significant progress on autonomous navigation has been made, the natural world offers interesting examples of navigational techniques that are worth exploring and understanding. The cognitive mechanism of mental rotation has been revealed in numerous cognitive and neuroscientific experiments; its reason for existence and evolution, however, has yet to be thoroughly understood. It is speculated that this mechanism may assist primates in navigation. This paper explores how mental rotation can be used in navigation by developing an autonomous robotic navigation algorithm that draws inspiration from the mechanism. This algorithm was tested on a robot tasked with navigating to a specified goal location contained within the agent's initial view. The testing suggests that mental rotation can be used as an asset in navigation.
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    Moral Emotions, Robots, and their Role in Managing Stigma in Early Stage Parkinson’s Disease Caregiving
    (Georgia Institute of Technology, 2014) Arkin, Ronald C. ; Pettinati, Michael J.
    Early stage Parkinson’s disease is characterized by facial masking that reduces the ability for a caregiver to effectively comprehend the emotional state of a patient. We are studying the introduction of a robotic co-mediator to increase the communicative bandwidth in this relationship for fostering empathic response in the caregiver. This requires modeling moral emotions in the patient, the patient, such as shame and embarrassment, while looking for lack of congruence in the caregiver regarding the perception of the emotional state of the patient. Having the robot exhibit suitable kinesic behavior in response is intended to drive the relationship towards acceptable social and medical treatment norms.
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    Preserving Dignity in Patient Caregiver Relationships Using Moral Emotions and Robots
    (Georgia Institute of Technology, 2014) Arkin, Ronald C. ; Scheutz, Matthias ; Tickle-Degnen, Linda
    This paper provides an overview of an ongoing NSF project that is intended to improve the long-term quality of care for patients suffering from early stage Parkinson’s disease. Due to facial masking in the patient, a stigmatization often occurs in their relationship with the caregiver due to the inability to adequately perceive the patient’s emotional state. We are developing robot co-mediators to assist in the transmission of this information through the use of artificial moral emotions that trigger suitable proxemic expressions in the robot, with the goal of ensuring that the quality of the patient-caregiver relationship is preserved.
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    Automatic Verification of Autonomous Robot Missions
    (Georgia Institute of Technology, 2014) O'Brien, Matthew ; Arkin, Ronald C. ; Harrington, Dagan ; Lyons, Damian M. ; Jiang, Shu
    Before autonomous robotics can be used for dangerous or critical missions, performance guarantees should be made available. This paper overviews a software system for the verification of behavior-based controllers in context of chosen hardware and environmental models. Robotic controllers are automatically translated to a process algebra. The system comprising both the robot and the environment are then evaluated by VIPARS, a verification software module in development, and compared to specific performance criteria. The user is returned a probability that the performance criteria will hold in the uncertainty of real-world conditions. Experimental results demonstrate accurate verification for a mission related to the search for a biohazard.
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    Ameliorating Patient-Caregiver Stigma in Early-Stage Parkinson's Disease using Robot co-Mediators
    (Georgia Institute of Technology, 2014) Arkin, Ronald C.
    Facial masking in early stage Parkinson’s disease leads to a well-documented deterioration (stigmatization) in the patient-caregiver relationship. This research described in this paper is concerned with preserving dignity in that bond where otherwise it might be lost, through the use of a robot co-mediator that will be capable of monitoring the human-human relationship for lack of congruence in the perceived emotional states of the parties concerned. This paper describes the component architectural modules that are being used in support of this 5-year effort, including an ethical architecture developed earlier for the military and previous research on affective companion robots for Sony and Samsung that are able to express affective state through kinesics and proxemics.
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    Verifying and Validating Multirobot Missions
    (Georgia Institute of Technology, 2014) Lyons, Damian M. ; Arkin, Ronald C. ; Jiang, Shu ; Harrington, Dagan ; Liu, Tsung-Ming
    We have developed an approach that can be used by mission designers to determine whether or not a performance guarantee for their mission software, when carried out under the uncertain conditions of a real-world environment, will hold within a threshold probability. In this paper we demonstrate its utility for verifying multirobot missions, in particular a bounding overwatch mission.
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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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    Collaborative Robots in Rehabilitation for Social Self-Management of Health
    (Georgia Institute of Technology, 2014) Tickle-Degnen, Linda ; Scheutz, Matthias ; Arkin, Ronald C.
    This paper reports the design plan of a social rehabilitation robot for optimizing social self-management of health. Managing health with physically and stigmatizing disabling conditions involves managing both physical and social daily functioning. The robot will use artificial moral emotions that trigger actions that mirror health care ethical behavior to preserve therapeutic relationships and empower social participation in people with Parkinson’s disease.
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    Getting it Right the First Time: Verification of Behavior-based Multirobot Missions
    (Georgia Institute of Technology, 2014) Lyons, Damian M. ; Arkin, Ronald C. ; Jiang, Shu ; Harrington, Dagan ; O'Brien, Matthew
    In research being conducted for the Defense Threat Reduction Agency (DTRA), we are concerned with robot missions that may only have a single opportunity for successful completion, with serious consequences if the mission is not completed properly. In particular we are investigating missions for Counter-Weapons of Mass Destruction (C-WMD) operations, which require discovery of a WMD within a structure and then either neutralizing it or reporting its location and existence to the command authority. Typical scenarios consist of situations where the environment may be poorly characterized in advance in terms of spatial layout, and have time-critical performance requirements. It is our goal to provide reliable performance guarantees for whether or not the mission as specified may be successfully completed under these circumstances, and towards that end we have developed a set of specialized software tools to provide guidance to an operator/commander prior to deployment of a robot tasked with such a mission.