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    Bio-inspired Assistive Robotics: Service Dogs as a Model for Human-Robot Interaction and Mobile Manipulation 

    Nguyen, Hai; Kemp, Charles C. (Georgia Institute of Technology, 2008-10)
    Service dogs have successfully provided assistance to thousands of motor-impaired people worldwide. As a step towards the creation of robots that provide comparable assistance, we present a biologically inspired robot ...
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    A foveated passive UHF RFID system for mobile manipulation 

    Deyle, Travis; Anderson, Cressel D.; Kemp, Charles C.; Reynolds, Matt S. (Georgia Institute of Technology, 2008-09)
    We present a novel antenna and system architecture for mobile manipulation based on passive RFID technology operating in the 850 MHz - 950 MHz ultra-high-frequency (UHF) spectrum. This system exploits the electromagnetic ...
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    Towards an Assistive Robot that Autonomously Performs Bed Baths for Patient Hygiene 

    King, Chih-Hung; Chen, Tiffany L.; Jain, Advait; Kemp, Charles C. (Georgia Institute of Technology, 2010-10)
    This paper describes the design and implementation of a behavior that allows a robot with a compliant arm to perform wiping motions that are involved in bed baths. A laser-based operator-selection interface enables an ...
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    RF vision: RFID receive signal strength indicator (RSSI) images for sensor fusion and mobile manipulation 

    Deyle, Travis; Nguyen, Hai; Reynolds, Matt S.; Kemp, Charles C. (Georgia Institute of Technology, 2009-10)
    In this work we present a set of integrated methods that enable an RFID-enabled mobile manipulator to approach and grasp an object to which a self-adhesive passive (battery-free) UHF RFID tag has been affixed. Our primary ...
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    Probabilistic UHF RFID tag pose estimation with multiple antennas and a multipath RF propagation 

    Deyle, Travis; Kemp, Charles C.; Reynolds, Matt S. (Georgia Institute of Technology, 2008-09)
    We present a novel particle filter implementation for estimating the pose of tags in the environment with respect to an RFID-equipped robot. This particle filter combines signals from a specially designed RFID antenna ...
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    A Clickable World: Behavior Selection Through Pointing and Context for Mobile Manipulation 

    Nguyen, Hai; Jain, Advait; Anderson, Cressel D.; Kemp, Charles C. (Georgia Institute of Technology, 2008-09)
    We present a new behavior selection system for human-robot interaction that maps virtual buttons overlaid on the physical environment to the robotpsilas behaviors, thereby creating a clickable world. The user clicks on a ...
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    Pulling Open Doors and Drawers: Coordinating an Omni-directional Base and a Compliant Arm with Equilibrium Point Control 

    Jain, Advait; Kemp, Charles C. (Georgia Institute of Technology, 2010-05)
    Previously, we have presented an implementation of impedance control inspired by the Equilibrium Point Hypothesis that we refer to as equilibrium point control (EPC). We have demonstrated that EPC can enable a robot in a ...
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    RFID-Guided Robots for Pervasive Automation 

    Deyle, Travis; Nguyen, Hai; Reynolds, Matt S.; Kemp, Charles C. (Georgia Institute of Technology, 2010-01-15)
    Passive UHF RFID tags are well matched to robots' needs. Unlike lowfrequency (LF) and high-frequency (HF) RFID tags, passive UHF RFID tags are readable from across a room, enabling a mobile robot to efficiently discover ...
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    Hand It Over or Set It Down: A User Study of Object Delivery with an Assistive Mobile Manipulator 

    Choi, Young Sang; Chen, Tiffany L.; Jain, Advait; Anderson, Cressel D.; Glass, Jonathan D.; Kemp, Charles C. (Georgia Institute of Technology, 2009)
    Delivering an object to a user would be a generally useful capability for service robots. Within this paper, we look at this capability in the context of assistive object retrieval for motor-impaired users. We first describe ...
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    Haptic Classification and Recognition of Objects Using a Tactile Sensing Forearm 

    Bhattacharjee, Tapomayukh; Rehg, James M.; Kemp, Charles C. (Georgia Institute of Technology, 2012-10)
    In this paper, we demonstrate data-driven inference of mechanical properties of objects using a tactile sensor array (skin) covering a robot's forearm. We focus on the mobility (sliding vs. fixed), compliance (soft vs. ...
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    AuthorKemp, Charles C. (13)Deyle, Travis (7)Anderson, Cressel D. (4)Jain, Advait (4)Nguyen, Hai (4)Reynolds, Matt S. (4)Chen, Tiffany L. (3)Choi, Young Sang (2)Glass, Jonathan D. (2)Bhattacharjee, Tapomayukh (1)... View MoreSubject
    Mobile robots (13)
    Manipulators (6)Radiofrequency identification (4)End effectors (3)Handicapped aids (3)Antennas (2)Control engineering computing (2)Human computer interaction (2)Medical robotics (2)Patient care (2)... View MoreDate Issued2008 (4)2009 (4)2010 (4)2012 (1)Has File(s)Yes (13)
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