2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Anticipating Degradation: A Predictive Approach to Fault Tolerance in Robot Swarms
James O'Keeffe
An active approach to fault tolerance is essential for robot swarms to achieve long-term autonomy. Previous efforts have focused on responding to spontaneous electro-mechanical fau…
Predictive Fault Tolerance for Autonomous Robot Swarms
James O'Keeffe, Alan Gregory Millard
Active fault tolerance is essential for robot swarms to retain long-term autonomy. Previous work on swarm fault tolerance focuses on reacting to electro-mechanical faults that are…
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking
Yanran Wang, James O'Keeffe, Qiuchen Qian +1
Accuracy and stability are common requirements for Quadrotor trajectory tracking systems. Designing an accurate and stable tracking controller remains challenging, particularly in…
KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments
Yanran Wang, James O'Keeffe, Qiuchen Qian +1
Unmapped areas and aerodynamic disturbances render autonomous navigation with quadrotors extremely challenging. To fly safely and efficiently, trajectory planners and trackers must…