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

Fuente: arXiv
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Autores principales: Shalaby, Mohammed Ayman, Cossette, Charles Champagne, Ny, Jerome Le, Forbes, James Richard
Formato: Preprint
Publicado: 2023
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author Shalaby, Mohammed Ayman
Cossette, Charles Champagne
Ny, Jerome Le
Forbes, James Richard
author_facet Shalaby, Mohammed Ayman
Cossette, Charles Champagne
Ny, Jerome Le
Forbes, James Richard
contents 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 UWB transceivers can range at a time to avoid interference, hence hindering the scalability of UWB-based localization. In this paper, a ranging protocol is proposed that allows all robots to passively listen on neighbouring communicating robots without any hierarchical restrictions on the role of the robots. This is utilized to allow each robot to obtain more range measurements and to broadcast preintegrated inertial measurement unit (IMU) measurements for relative extended pose state estimation directly on SE2(3). Consequently, a simultaneous clock-synchronization and relative-pose estimator (CSRPE) is formulated using an on-manifold extended Kalman filter (EKF) and is evaluated in simulation using Monte-Carlo runs for up to 7 robots. The ranging protocol is implemented in C on custom-made UWB boards fitted to 3 quadcopters, and the proposed filter is evaluated over multiple experimental trials, yielding up to 48% improvement in localization accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_2304_03837
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Multi-Robot Relative Pose Estimation and IMU Preintegration Using Passive UWB Transceivers
Shalaby, Mohammed Ayman
Cossette, Charles Champagne
Ny, Jerome Le
Forbes, James Richard
Robotics
Signal Processing
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 UWB transceivers can range at a time to avoid interference, hence hindering the scalability of UWB-based localization. In this paper, a ranging protocol is proposed that allows all robots to passively listen on neighbouring communicating robots without any hierarchical restrictions on the role of the robots. This is utilized to allow each robot to obtain more range measurements and to broadcast preintegrated inertial measurement unit (IMU) measurements for relative extended pose state estimation directly on SE2(3). Consequently, a simultaneous clock-synchronization and relative-pose estimator (CSRPE) is formulated using an on-manifold extended Kalman filter (EKF) and is evaluated in simulation using Monte-Carlo runs for up to 7 robots. The ranging protocol is implemented in C on custom-made UWB boards fitted to 3 quadcopters, and the proposed filter is evaluated over multiple experimental trials, yielding up to 48% improvement in localization accuracy.
title Multi-Robot Relative Pose Estimation and IMU Preintegration Using Passive UWB Transceivers
topic Robotics
Signal Processing
url https://arxiv.org/abs/2304.03837