Teleoperation of a Suspended Aerial Manipulator Using a Handheld Camera With an IMU

This letter presents a simple, low-cost teleoperation system. The leader device is a handheld camera integrated with an Inertial Measurement Unit (IMU), making it feasible to use a modern smartphone for this purpose. Existing leader devices require hardware and sensors to measure both the user interactions, and to control the follower device. By contrast, the proposed method uses the handheld camera both as a leader device and as a sensor to control the position of the follower device through visual servoing. To the best of the author's knowledge, this visual servoing scenario where the camera is held by a user has not been thoroughly studied. The measurements from the handheld device and the follower are fused together in an Extended Kalman Filter (EKF) to improve further the pose estimation. A Virtual Camera and IMU (VCI) concept is introduced to filter hand tremors for teleoperation efficiency without hindering the bandwidth of the relative pose control loop. The EKF and the VCI performance are assessed experimentally by teleoperating a Suspended Aerial Manipulator (AMES) prototype.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-12-04
DOI
https://doi.org/10.1109/lra.2024.3511373
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.50

Funders

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article

Teleoperation of a Suspended Aerial Manipulator Using a Handheld Camera With an IMU

Miguel Arpa Perozo, Jacques Gangloff, Loïc Cuvillon, Sylvain Durand et al.
2 citations
IEEE Robotics and Automation Letters
Robotic Path Planning Algorithms
0.50
article

Teleoperation of a Suspended Aerial Manipulator Using a Handheld Camera With an IMU

Miguel Arpa Perozo, Jacques Gangloff, Loïc Cuvillon, Sylvain Durand, Ethan Niddam
article en
2 citations

Abstract

This letter presents a simple, low-cost teleoperation system. The leader device is a handheld camera integrated with an Inertial Measurement Unit (IMU), making it feasible to use a modern smartphone for this purpose. Existing leader devices require hardware and sensors to measure both the user interactions, and to control the follower device. By contrast, the proposed method uses the handheld camera both as a leader device and as a sensor to control the position of the follower device through visual servoing. To the best of the author's knowledge, this visual servoing scenario where the camera is held by a user has not been thoroughly studied. The measurements from the handheld device and the follower are fused together in an Extended Kalman Filter (EKF) to improve further the pose estimation. A Virtual Camera and IMU (VCI) concept is introduced to filter hand tremors for teleoperation efficiency without hindering the bandwidth of the relative pose control loop. The EKF and the VCI performance are assessed experimentally by teleoperating a Suspended Aerial Manipulator (AMES) prototype.

IEEE Robotics and Automation LettersVol. 10(1)
Centre National de la Recherche Scientifique (FR), Institut National des Sciences Appliquées de Strasbourg (FR), Université de Strasbourg (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 33%
Robotic Path Planning Algorithms
0.50
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Teleoperation of a Suspended Aerial Manipulator Using a Handheld Camera With an IMU — Miguel Arpa Perozo, Jacques Gangloff, et al. · IEEE Robotics and Automation Letters (2024) | TGRS Research Map | TGRS