Search Constraints

Start Over
Filtering by: Degree Field Robotics Remove constraint Degree Field: Robotics License All rights reserved Remove constraint License: All rights reserved

Search Results

  • Terrain-Aware Probabilistic Search Planning for Unmanned Aerial Vehicles

    Creator:
    Schomer, Nathan L.
    Abstract:
    Mountain search and rescue is a vital form of emergency response to assist people in austere environments (e.g., extreme terrain, poor weather). Volunteer mountain search and rescue teams in the United States have begun adopting consumer- grade unmanned aerial vehicles to assist a variety of tasks (e.g., search, resource delivery);...
    Resource Type:
    Masters Thesis

  • 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 from optimization for bipedal robots

    Creator:
    Yu, Fangzhou
    Abstract:
    Legged robots have consistently captured our collective imagination through various forms of media, from Hollywood films, anime, and viral Youtube videos of robots accomplishing incredible feats of acrobatics. These robots have the potential to navigate our environments, capable of completing tasks that would otherwise require human intervention. However, developing controls...
    Resource Type:
    Masters Thesis
    Full Text:
    generating offline motion plans over long time horizons. For fixed-base robotic manipulators, this could

  • 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

  • Cooperative Collision Avoidance on Small-sized Quadcopters With Indoor Loco Positioning System

    Creator:
    Avadhanula, Ritika
    Abstract:
    Disaster response and surveillance operations will increasingly incorporate Unmanned Aerial Vehicles (UAV)s due to their cost-effectiveness and maneuverability. This trend has driven the research on small-sized quadcopters for varying indoor applications. Small-sized quadcopters' payload and computational capacity limit the usage of complex vision-based collision avoidance algorithms that are employed by...
    Resource Type:
    Capstone Project

  • 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

  • Branch reconstruction and modelling for pruning

    Creator:
    Josyula, Gopala Krishna
    Abstract:
    Successful pruning relies on accurately identifying the 3D structure of tree branches and leaders. However, this task is arduous in an agricultural setting due to the complexity of scenes, the presence of clutter, and variable weather conditions. This project addresses these challenges by leveraging advancements in 2D image segmentation and...
    Resource Type:
    Capstone Project

  • 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 Reference-Free Sim-to-Real Reinforcement Learning for Bipedal Locomotion

    Creator:
    Siekmann, Jonah A.
    Abstract:
    In recent years, model-free Deep Reinforcement Learning (RL) has become an increasingly popular alternative to more traditional model-based or optimization-based control methods in solving robotic legged locomotion. However, deploying RL in the real world can be a significant undertaking. Constructing reward functions which compel controllers to learn the desired behavior...
    Resource Type:
    Masters Thesis
    Full Text:
    alternative to more traditional model-based or optimization-based control methods in solving robotic legged