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  • Learning-based Techniques for Fast and Robust Motion Planning

    Creator:
    Chow, Scott
    Abstract:
    Motion planning is a cornerstone of autonomous robots, enabling robots to safely and efficiently perform tasks such as package delivery, infrastructure inspection, and manipulation. However, as the field of robotics matures, robotic systems are being developed that (1) are challenging to analytically model, (2) require computationally expensive model-based controllers, and...
    Resource Type:
    Dissertation
    Full Text:
    , robotic systems are being developed that (1) are challenging to analytically model, (2) require

  • Multi-Dimensional Task Recognition for Human-Robot Teaming

    Creator:
    Baskaran, Prakash
    Abstract:
    Human-robot teams involve humans and robots collaborating to achieve tasks under various environmental conditions. Successful teaming requires robots to adapt autonomously in real-time to a human teammate's state. An important element of such adaptation is the ability for the robot to infer the tasks performed by their human teammates. Human-robot...
    Resource Type:
    Dissertation

  • 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

  • A Novel Method for the Quantitative Assessment of Fingered Robot Hand Designs for In-Hand Manipulation using Human Studies and Object-Centric Benchmarks

    Creator:
    Morrow, John F., IV
    Abstract:
    Fingered robot hands are complicated systems made of three essential system components: its morphology, its actuation, and its software control. These system components are tightly coupled to each other. Due to this, it is hard to benchmark robot hand performance in a way to understand the contributions of the individual...
    Resource Type:
    Dissertation

  • 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

  • Robotic Actuation and Control with Programmable, Field-Activated Material Systems

    Creator:
    Bira, Nicholas P.
    Abstract:
    This dissertation presents novel, field-activated smart material systems for the actuation and control of autonomous robots. Smart materials, a type of material whose properties can be changed with an external stimuli, represent a promising direction to expand upon existing robotic control and actuation methods, particularly in the sub-fields of soft...
    Resource Type:
    Dissertation
    Full Text:
    : Robotic Actuation and Control with Programmable, Field-Activated Material Systems Abstract approved

  • 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
    Full Text:
    Optimization Abstract approved: Jonathan Hurst Ross L. Hatton Robotic Bipedal locomotion holds the potential

  • 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