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    Teaching robots about human environments: Leveraging human interaction to efficiently learn and use multisensory object affordances 

    Chu, Vivian (Georgia Institute of Technology, 2018-01-09)
    The real world is complex, unstructured, and contains high levels of uncertainty. Although past work shows that robots can successfully operate in situations where a single skill is needed, they will need a framework that ...
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    Robots learning actions and goals from everyday people 

    Akgun, Baris (Georgia Institute of Technology, 2015-11-16)
    Robots are destined to move beyond the caged factory floors towards domains where they will be interacting closely with humans. They will encounter highly varied environments, scenarios and user demands. As a result, ...
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    Efficient and principled robot learning: Theory and algorithms 

    Cheng, Ching An (Georgia Institute of Technology, 2020-01-07)
    Roboticists have long envisioned fully-automated robots that can operate reliably in unstructured environments. This is an exciting but extremely difficult problem; in order to succeed, robots must reason about sequential ...
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    Search-based collision-free motion planning for robotic sculpting 

    Jain, Abhinav (Georgia Institute of Technology, 2020-07-28)
    In this work, I explore the task of robot sculpting. I propose a search-based planning algorithm to solve the problem of sculpting by material removal with a multi-axis manipulator. I generate collision free trajectories ...

    A design methodology for the configuration of behavior-based mobile robots 

    MacKenzie, Douglas Christopher (Georgia Institute of Technology, 1996)
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    Multiagent telerobotics : matching systems to tasks 

    Ali, Khaled Subhi (Georgia Institute of Technology, 1999-05)

    An architecture for intelligent robotic sensor fusion 

    Murphy, Robin Roberson (Georgia Institute of Technology, 1992)

    Behavioral diversity in learning robot teams 

    Balch, Tucker (Georgia Institute of Technology, 1998)
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    Time-optimal sampling-based motion planning for manipulators with acceleration limits 

    Kunz, Tobias (Georgia Institute of Technology, 2015-04-07)
    Robot actuators have physical limitations in how fast they can change their velocity. The more accurately planning algorithms consider these limitations, the better the robot is able to perform. Sampling-based algorithms ...
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    Object categorization for affordance prediction 

    Sun, Jie (Georgia Institute of Technology, 2008-07-01)
    A fundamental requirement of any autonomous robot system is the ability to predict the affordances of its environment, which define how the robot can interact with various objects. In this dissertation, we demonstrate that ...
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    AuthorAkgun, Baris (1)Ali, Khaled Subhi (1)Balch, Tucker (1)Bormann, Richard Klaus Eduard (1)Cakmak, Maya (1)Cheng, Ching An (1)Chu, Vivian (1)Dantam, Neil Thomas (1)dePalma, Nicholas Brian (1)Endo, Yoichiro (1)... View MoreSubject
    Robotics (30)
    Machine learning (9)Robots (6)Human-robot interaction (5)Artificial intelligence (4)Robotics Human factors (4)Algorithms (3)Motion planning (3)Personal robotics (3)Robots Control systems (3)... View MoreDate Issued2020 - 2022 (5)2010 - 2019 (18)2000 - 2009 (3)1992 - 1999 (4)Has File(s)Yes (30)
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