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Filtering by: Alternative title ssim Technical note no. 236 Remove constraint Alternative title ssim: Technical note no. 236 Degree Level Doctoral Remove constraint Degree Level: Doctoral Non-Academic Affiliation Oregon State University. Collaborative Robotics and Intelligent Systems (CoRIS) Institute Remove constraint Non-Academic Affiliation: Oregon State University. Collaborative Robotics and Intelligent Systems (CoRIS) Institute

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  • Privacy-Sensitive Robotics

    Creator:
    Rueben, Matthew R.
    Abstract:
    This dissertation focuses on personal privacy in human-robot interaction, which we call "privacy-sensitive robotics." Our understanding of "privacy" is very broad, including not just information privacy but also physical, psychological, and social privacy. We begin by surveying the scholarly literature on privacy and talking about why it applies to interactions...
    Resource Type:
    Dissertation
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    subjectively-assigned categories, e.g., valuable, financial, personal. Note that the robot drawing and personal

  • 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
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    the pres- ence of the hazard itself (as agents have no ability to interpret that kind of state

  • Realizable Path Planning and Execution for Robotic Systems

    Creator:
    Jones, Dylan A.
    Abstract:
    Performing autonomous robotic tasks in the field, such as ocean monitoring and aerial surveillance, requires planning and executing paths in dynamic environments. In these uncertain and changing environments, it is not uncommon to see a large difference between the path planned by the robotic vehicle and the path that the...
    Resource Type:
    Dissertation
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    many more spelling errors throughout my work. No dissertation is made without a village, and as such

  • 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
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    from the optimistic initialization down to a low-value where it is no longer selected. Since policies

  • Geometric Motion Planning for Inertial Systems

    Creator:
    Faraji, Hossein
    Abstract:
    In order to enable better visualization and understanding of the effect of the robot's geometry and inertia on the robot's trajectories, this dissertation proposes to use geometric mechanics to bridge the gap between the physical motion of a robot and its mathematical structure. The main focus of this research is...
    Resource Type:
    Dissertation
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    major axes of the ellipses, even though the geodesic path is shorter and has no curvature. The arrows

  • Agile Bipedal Locomotion via Hierarchical Control by Incorporating Physical Principles, Learning, and Optimization

    Creator:
    Green, Kevin
    Abstract:
    Robotic Bipedal locomotion holds the potential for efficient, robust traversal of difficult terrain. The difficulty lies in the dynamics of locomotion which complicate control and motion planning. Bipedal locomotion dynamics are dimensionally large problems, extremely nonlinear, and operate on the limits of actuator capabilities, which limit the performance of generic...
    Resource Type:
    Dissertation
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    . Through technical fail- ures. Through wildfires. Through political turmoil. Through a global pandemic