61 citations · 113 across the 23 of their papers we have counts for
35 papers
Perception-aware Tag Placement Planning for Robust Localization of UAVs in Indoor Construction Environments
Navid Kayhani, Angela Schoellig, Brenda McCabe
Tag-based visual-inertial localization is a lightweight method for enabling autonomous data collection missions of low-cost unmanned aerial vehicles (UAVs) in indoor construction e…
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine R. Glossop, Jacopo Panerati, Amrit Krishnan +2
In this study, we leverage the deliberate and systematic fault-injection capabilities of an open-source benchmark suite to perform a series of experiments on state-of-the-art deep…
Stochastic Modeling of Tag Installation Error for Robust On-Manifold Tag-Based Visual-Inertial Localization
Navid Kayhani, Brenda McCabe, Angela P. Schoellig
Autonomous mobile robots, including unmanned aerial vehicles (UAVs), have received significant attention for their applications in construction. These platforms have great potentia…
Finding the Right Place: Sensor Placement for UWB Time Difference of Arrival Localization in Cluttered Indoor Environments
Wenda Zhao, Abhishek Goudar, Angela P. Schoellig
Ultra-wideband (UWB) time difference of arrival (TDOA)-based localization has recently emerged as a promising indoor positioning solution. However, in cluttered environments, both…
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems
Lukas Brunke, Siqi Zhou, Angela P. Schoellig
In this work, we consider the problem of designing a safety filter for a nonlinear uncertain control system. Our goal is to augment an arbitrary controller with a safety filter suc…
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks
Lukas Brunke, Siqi Zhou, Angela P. Schoellig
In this work we address the problem of performing a repetitive task when we have uncertain observations and dynamics. We formulate this problem as an iterative infinite horizon opt…