2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems
Yanran Wang, James O'Keeffe, Qiuchen Qian +1
This paper presents a novel trajectory tracker for autonomous quadrotor navigation in dynamic and complex environments. The proposed framework integrates a distributional Reinforce…
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…