activity
20072025
most citedMulti-Robot Relative Pose Estimation and IMU Preintegration Using Passive UWB Transceivers

24 citations · 45 across the 14 of their papers we have counts for

collaborators

15 papers

eess.SY2025

Task load dependent decision referrals for joint binary classification in human-automation teams

Kesav Kaza, Jerome Le Ny, Aditya Mahajan

We consider the problem of optimal decision referrals in human-automation teams performing binary classification tasks. The automation, which includes a pre-trained classifier, obs…

cs.RO2023★ 24 cited

Multi-Robot Relative Pose Estimation and IMU Preintegration Using Passive UWB Transceivers

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

Ultra-wideband (UWB) systems are becoming increasingly popular as a means of inter-robot ranging and communication. A major constraint associated with UWB is that only one pair of…

eess.SP2022★ 2 cited

Reducing Two-Way Ranging Variance by Signal-Timing Optimization

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

Time-of-flight-based ranging among transceivers with different clocks requires protocols that accommodate varying rates of the clocks. Double-sided two-way ranging (DS-TWR) is wide…

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

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…