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Filtering by: Has journal The International Journal of Robotics Research Remove constraint Has journal: The International Journal of Robotics Research Degree Field Computer Science Remove constraint Degree Field: Computer Science License All rights reserved Remove constraint License: All rights reserved

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  • Multiagent learning for locomotion and coordination in tensegrity robotics

    Creator:
    Iscen, Atil
    Abstract:
    Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...
    Resource Type:
    Dissertation
    Full Text:
    played a big role in my research by introducing me to the topic of tensegrity robotics and the SUPERBall

  • Predicting Robotic Grasps Using Surrogate Datasets

    Creator:
    Unrath, Matthew Paul Nishita
    Abstract:
    One of the tasks that continues to prove difficult in robotics is the ability to grasp objects of varying shapes. It is time-consuming to acquire large amounts of real-world data in order to train accurate classifiers that can predict the success or failure of a grasp. To solve this issue,...
    Resource Type:
    Honors College Thesis
    Full Text:
    Wong One of the tasks that continues to prove difficult in robotics is the ability to grasp objects

  • Robotic path-planning through dynamic maps

    Creator:
    Bowie, Cameron Scott
    Abstract:
    Robotic global navigation is often based on the assumption that the world is static. It assumes that obstacles present in maps will be there later and new obstacles will be dealt with by a local planning algorithm. When robots interact in an environment inhabited by people, this assumption does not...
    Resource Type:
    Honors College Thesis
    Full Text:
    conceived of as a means of connecting the world of robotics researchers. Prior to ROS, work would be

  • Recurrent Neural Networks for Robotic Control of a Human-Scale Bipedal Robot

    Creator:
    Siekmann, Jonah A.
    Abstract:
    Dynamic bipedal locomotion is among the most difficult and yet relevant problems in modern robotics. While a multitude of classical control methods for bipedal locomotion exist, they are often brittle or limited in capability. In recent years, work in applying reinforcement learning to robotics has lead to superior performance across...
    Resource Type:
    Honors College Thesis
    Full Text:
    manipulation. The International Journal of Robotics Research, 39(1):3–20, 2020. doi: 10.1177/0278364919887447

  • Understanding Software-2.0: A Study of Machine Learning library usage and evolution

    Creator:
    Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny
    Abstract:
    Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...
    Resource Type:
    Research Paper
    Full Text:
    ) Researchers are unaware of the research gaps (i.e., the actual unsolved problems faced by the Software-2.0

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
    Resource Type:
    Dissertation
    Full Text:
    robotic movements, it can be difficult to apply in the high-dimensional spaces commonly found in robotics

  • Distortion of Agent States for Improved Coordination

    Creator:
    Yates, Connor L
    Abstract:
    Many real world problems have partial solutions or intermediary steps which can lead toward solving the problem. When assembling robotic teams to solve these problems, we have intuition about which intermediary steps are more useful than others. We examine methods to identify and apply our designer intuition onto tightly coupled...
    Resource Type:
    Honors College Thesis
    Full Text:
    shaping and human-intent research. This is examined in the context of previous state shaping methods

  • Comparison of machine learning methods for predicting bird distributions

    Creator:
    Bikkina, Vinay
    Abstract:
    The purpose of this study is to explore kernel machine learning methods for species distribution modeling. Previous studies have shown the success of Generalized Boosted Regression Models, however kernel methods have been unexplored for species distribution modeling. Using the eBird dataset, four machine learning methods were tested for accuracy and...
    Resource Type:
    Honors College Thesis
    Full Text:
    have been explored in this domain. The purpose of this research is to explore the value of other NP

  • The Sweet Roll : A Project in Podcasting Gaming News, Discussions and Reviews

    Creator:
    Wallace, Kenneth LaVond
    Abstract:
    This thesis – “The Sweet Roll: A Project in Podcasting Gaming News, Discussions and Reviews” – assesses the current gaming scene, including games, gamers, news, and reviews of gaming, and creates a pilot podcast The Sweet Roll as a demonstration and discussion of what could be done better. Through a...
    Resource Type:
    Honors College Thesis
    Full Text:
    looked at some of the research in the field – primary and secondary – Chapter 2 will look at criteria

  • Information Foraging Theory as a Unifying Foundation for Software Engineering Research : Connecting the Dots

    Creator:
    Piorkowski, David
    Abstract:
    Empirical studies have shown that programmers spend up to one-third of their time navigating through code during debugging. Although researchers have conducted empirical studies to understand programmers’ navigation difficulties and developed tools to address those difficulties, the resulting findings tend to be loosely connected to each other. To address this...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF David Piorkowski for the degree of Doctor of Philosophy in