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20182026
most citedFinite-Horizon LQR Control of Quadrotors on

84 citations · 369 across the 30 of their papers we have counts for

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Showing 2022 · cs.ROShow all

6 papers · 2 filters

cs.RO2022★ 14 cited

Know What You Don't Know: Consistency in Sliding Window Filtering with Unobservable States Applied to Visual-Inertial SLAM (Extended Version)

Daniil Lisus, Mitchell Cohen, James Richard Forbes

Estimation algorithms, such as the sliding window filter, produce an estimate and uncertainty of desired states. This task becomes challenging when the problem involves unobservabl…

cs.RO2022★ 1 cited

Calibration and Uncertainty Characterization for Ultra-Wideband Two-Way-Ranging Measurements

Mohammed Ayman Shalaby, Charles Champagne Cossette, James Richard Forbes +1

Ultra-Wideband (UWB) systems are becoming increasingly popular for indoor localization, where range measurements are obtained by measuring the time-of-flight of radio signals. Howe…

cs.RO2022★ 62 cited

Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements

Mohammed Shalaby, Charles Champagne Cossette, James Richard Forbes +1

The ability to accurately estimate the position of robotic agents relative to one another, in possibly GPS-denied environments, is crucial to execute collaborative tasks. Inter-age…

cs.RO2022★ 11 cited

Mind the Gap: Norm-Aware Adaptive Robust Loss for Multivariate Least-Squares Problems

Thomas Hitchcox, James Richard Forbes

Measurement outliers are unavoidable when solving real-world robot state estimation problems. A large family of robust loss functions (RLFs) exists to mitigate the effects of outli…

cs.RO2022

Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements

Charles Champagne Cossette, Mohammed Ayman Shalaby, David Saussie +2

In multi-robot missions, relative position and attitude information between agents is valuable for a variety of tasks such as mapping, planning, and formation control. In this pape…

cs.RO2022

Ultra-Wideband Teach and Repeat

Mohammed Ayman Shalaby, Charles Champagne Cossette, Jerome Le Ny +1

Autonomously retracing a manually-taught path is desirable for many applications, and Teach and Repeat (T&R) algorithms present an approach that is suitable for long-range autonomy…