Search Constraints

Start Over
Filtering by: Degree Field Robotics Remove constraint Degree Field: Robotics Committee Member Adams, Julie A. Remove constraint Committee Member: Adams, Julie A.

Search Results

  • Learning to coordinate in sparse asymmetric multiagent systems

    Creator:
    Dixit, Gaurav
    Abstract:
    Multiagent learning offers a rich framework to address challenging real-world problems such as remote exploration and healthcare coordination, which require autonomous agents to express elaborate interactions. To be effective in such systems, agents must collectively reason about and pursue high-level, long-term, and possibly nebulous objectives while adapting their strategy to...
    Resource Type:
    Dissertation
    Full Text:
    robotic automation [60, 67]. Interestingly, many such real-world ap- plications involve the participation

  • Counterfactual thinking applied to multiagent systems

    Creator:
    Zerbel, Nicholas
    Abstract:
    Multiagent approaches are well suited to designing autonomous solutions for systems that feature complex interactions between many individuals such as in autonomous traffic systems and multi-robot exploration systems. However, creating autonomous agents that function effectively in these systems is a challenging task. In these complex environments, agents need informative reward...
    Resource Type:
    Dissertation
    Full Text:
    as a partner that cannot move boxes and the right box has robotic partner that can move boxes. This

  • Socially Communicative Multi-Robot Motion and Formation: Algorithm Development and Validation

    Creator:
    Bacula, Alexandra
    Abstract:
    Expressive motion has been found to be a highly effective tool in communicating intent and motivation in single robot human-robot interaction, but work in exploring how groups of robots can use motion in interactions with humans is relatively nascent. There are many additional complexities to consider expanding from single robot...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . 28 3.1.1 Jellyfish Robotic Platform . . . . . . . . . . . . . . . . . . . . 29 3.1.2 Choreographic

  • Robust Long Term Autonomy Through Local Behaviors

    Creator:
    Yates, Connor L.
    Abstract:
    Multi-robot teams offer promising solutions for many long term deployments in remote and dangerous domains, such as extraterrestrial or underseas exploration. However, long term deployments present many problems preventing robot teams from operating effectively. Learning over long time scales is makes it difficult to assign credit to robots' actions, as...
    Resource Type:
    Dissertation
    Full Text:
    robotic systems. To validate R-MFL, we investigate two problems that depend on a physical experiment

  • Designing and Evaluating a User Interface for Multi-Robot Furniture

    Creator:
    Stoddard, Brett
    Abstract:
    A chair, once placed, will stay put until moved. Or will it? With the rise of technology being embeddable into everyday objects, what if that chair could move itself? Such robotic furniture has been featured in advertisements, art, and Human-Robot Interaction (HRI) research. Existing methods for operating robotic furniture have...
    Resource Type:
    Masters Thesis
    Full Text:
    ? Such robotic furniture has been featured in advertisements, art, and Human- Robot Interaction (HRI

  • Efficiently Learning Human Preferences for Robot Autonomy

    Creator:
    Somers, Thane N.
    Abstract:
    Human-robot teams are invaluable for mapping unknown environments, exploring difficult-to-reach areas, and manipulating inaccessible equipment. However, guiding autonomous robots requires dealing with these dynamic domains while synthesizing a significant amount of data and balancing competing objectives. Current mission planning methods often involve manually specifying low-level parameters of the mission, such...
    Resource Type:
    Masters Thesis
    Full Text:
    human preferences for robotic mission planning. This research is motivated by the challenges robots

  • Providing Informative Feedback for Learning in Tightly Coupled Multiagent Domains

    Creator:
    Rockefeller, Golden C.
    Abstract:
    Autonomous agents that sense, decide, act, and coordinate effectively with each other are critical in many real-world domains such as autonomous driving, search and rescue missions, air traffic management, and underwater or deep space exploration. All such domains share a key difficulty: though high-level mission goals are clear to system...
    Resource Type:
    Dissertation

  • Communication Planning for Cooperative Terrain-Based Underwater Localization

    Creator:
    Anderson, Jacob
    Abstract:
    This thesis presents a decentralized communication planning algorithm for cooperative terrain-based navigation (dec-TBN) with autonomous underwater vehicles. The proposed algorithm uses forward simulation to approximate the value of communicating at each time step. The simulations are used to build a directed acyclic graph that can be searched to provide a...
    Resource Type:
    Masters Thesis
    Full Text:
    marine robotics being used for oceanographic research and infrastructure inspection. Autonomous robotic

  • Topologically-Guided Robotic Information Gathering

    Creator:
    McCammon, Seth
    Abstract:
    Information gathering tasks, such as terrestrial search and rescue, aerial inspection, and marine monitoring, require robotic unmanned systems to make decisions on how to travel within an environment to maximize or minimize a path-dependent information objective function. The distribution of information throughout the environment is the result of various processes,...
    Resource Type:
    Dissertation
    Full Text:
    -Guided Robotic Information Gathering Abstract approved: Geoffrey A. Hollinger Information gathering

  • Systems and methods for multi-robot comedy

    Creator:
    Swaminathan, Janani
    Abstract:
    This thesis seeks to make developing multi-robot comedy performances more accessible to developers and performers, and suggests the use of duo comedy for robot-run research experiments. It involved four main steps: technology development, experimental deployments in the general public, the development of the Multi-Robot Comedy Performance System, and an analysis...
    Resource Type:
    Masters Thesis