• Login
    Search 
    •   SMARTech Home
    • College of Computing (CoC)
    • Search
    •   SMARTech Home
    • College of Computing (CoC)
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-10 of 75

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    Dynamic Characterization of KUKA Light-Weight Robot Manipulators 

    Huckaby, Jacob; Christensen, Henrik I. (Georgia Institute of Technology, 2012)
    High precision tasks are an important part of the manufacturing industry. For example, safety constraints require that some manufacturing must be done to a very high degree of accuracy. Robotics and automation are well ...
    Thumbnail

    A Partially Fixed Linearization Approach for Submap-Parametrized Smoothing and Mapping 

    Kipp, Alexander; Krauthausen, Peter; Dellaert, Frank (Georgia Institute of Technology, 2005)
    We present an extension of a smoothing approach to Simultaneous Localization and Mapping (SLAM). We have previously introduced Square-Root SAM, a Smoothing and Mapping approach to SLAM based on Levenberg-Marquardt (LM) ...
    Thumbnail

    An Evaluation of GUI and Kinesthetic Teaching Methods for Constrained-Keyframe Skills 

    Kurenkov, Andrey (Georgia Institute of Technology, 2015-08-18)
    Keyframe-based Learning from Demonstration has been shown to be an effective method for allowing end-users to teach robots skills. I propose a method for using multiple keyframe demonstrations to learn skills as sequences ...
    Thumbnail

    Robot Calligraphy using Pseudospectral Optimal Control and a Simulated Brush Model 

    Chen, Jiaqi (Georgia Institute of Technology, 2019-12)
    Chinese calligraphy is unique and has great artistic value but is difficult to master. In this paper, we make robots write calligraphy. Learning methods could teach robots to write, but may not be able to ...
    Thumbnail

    Learning Rotation-in-Place and Orbiting Policies for a Quadruped Robot 

    Kim, Alex (Georgia Institute of Technology, 2022-05)
    Reinforcement learning (RL) algorithms have successfully learned control policies for quadruped locomotion such as walking, rotation, and basic navigation. We utilize Proximal Policy Optimization and iGibson to train a ...
    Thumbnail

    Simulating Assistive Robotics Tasks 

    Gangaram, Vamsee K. (Georgia Institute of Technology, 2020-05)
    In this thesis, I summarize two published research papers [1][2] to which I contributed as an undergraduate researcher. My contributions to this research primarily consisted of implementing realistic human joint limitations ...
    Thumbnail

    Investigating Sim-to-Real Transfer and Multi-Agent Learning in Assistive Gym 

    Schaffer, Holden C. (Georgia Institute of Technology, 2020-12)
    As the world's population grows older on average and the number of available caregivers decreases, assistive robotics pose an opportunity for older adults or people with disabilities to continue receiving the care that ...
    Thumbnail

    Reducing Cognitive Load in HRI: A Proposed Research Strategy for the RAIL Lab 

    Storer, Sarah A. (Georgia Institute of Technology, 2019-05)
    How can social robotics help reduce cognitive load when humans and robots work together? This document proposes research guidelines for exploring the confluence of human-computer interaction and cognitive load theory. Field ...
    Thumbnail

    Real-time State Estimation for Aggressive Driving Autonomous Ground Vehicles 

    Pattison, Dominic (Georgia Institute of Technology, 2018-05)
    State estimation is an integral part of many robotic systems. It is particularly important in the realm of high performance ground vehicles where systems must be real-time, robust, and accurate. This project aims to tackle ...
    Thumbnail

    Context Aware Policy Selection 

    Liu, Anthony J. (Georgia Institute of Technology, 2020-05)
    In of optimal control and reinforcement learning, the difference in the performance of a state-of-the-art policy and a mediocre one is minuscule in comparison to their difference in amortized computational cost. Further, ...
    • 1
    • 2
    • 3
    • 4
    • . . .
    • 8

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CommunityDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Discover

    AuthorArkin, Ronald C. (8)Dellaert, Frank (7)Stilman, Mike (5)Dantam, Neil (4)Kira, Zsolt (4)Christensen, Henrik I. (3)Balch, Tucker (2)Stoytchev, Alexander (2)Aha, David W. (1)Akgun, Baris (1)... View MoreSubject
    Robotics (75)
    Machine learning (9)Human-robot interaction (8)Artificial intelligence (6)Robots (6)Manipulation (5)Learning (4)Robotics Human factors (4)Algorithms (3)Grammars (3)... View MoreDate Issued2020 - 2022 (10)2010 - 2019 (42)2000 - 2009 (18)1992 - 1999 (5)Has File(s)Yes (75)
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology