Lee, Jongseok und Radhakrishna Balachandran, Ribin und Kondak, Konstantin und Coelho, Andre und De Stefano, Marco und Humt, Matthias und Feng, Jianxiang und Asfour, Tamim und Triebel, Rudolph (2023) Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. Field Robotics, 3, Seiten 323-367. Field Robotics Publication Society. doi: 10.55417/fr.2023010. ISSN 2771-3989.
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Offizielle URL: https://fieldrobotics.net/Field_Robotics/Volume_3_files/Vol3_10.pdf
Kurzfassung
This paper presents a novel telepresence system for advancing aerial manipulation in dynamic and unstructured environments. The proposed system not only features a haptic device, but also a virtual reality (VR) interface that provides real-time 3D displays of the robot's workspace as well as a haptic guidance to its remotely located operator. To realize this, multiple sensors, namely, a LiDAR, cameras, and IMUs are utilized. For processing of the acquired sensory data, pose estimation pipelines are devised for industrial objects of both known and unknown geometries. We further propose an active learning pipeline in order to increase the sample efficiency of a pipeline component that relies on a Deep Neural Network (DNN) based object detector. All these algorithms jointly address various challenges encountered during the execution of perception tasks in industrial scenarios. In the experiments, exhaustive ablation studies are provided to validate the proposed pipelines. Methodologically, these results commonly suggest how an awareness of the algorithms' own failures and uncertainty ("introspection") can be used to tackle the encountered problems. Moreover, outdoor experiments are conducted to evaluate the effectiveness of the overall system in enhancing aerial manipulation capabilities. In particular, with flight campaigns over days and nights, from spring to winter, and with different users and locations, we demonstrate over 70 robust executions of pick-and-place, force application and peg-in-hole tasks with the DLR cable-Suspended Aerial Manipulator (SAM). As a result, we show the viability of the proposed system in future industrial applications.
elib-URL des Eintrags: | https://elib.dlr.de/194517/ | ||||||||||||||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||||||||||||||
Titel: | Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities | ||||||||||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | 1 März 2023 | ||||||||||||||||||||||||||||||||||||||||
Erschienen in: | Field Robotics | ||||||||||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||||||||||||||
Band: | 3 | ||||||||||||||||||||||||||||||||||||||||
DOI: | 10.55417/fr.2023010 | ||||||||||||||||||||||||||||||||||||||||
Seitenbereich: | Seiten 323-367 | ||||||||||||||||||||||||||||||||||||||||
Verlag: | Field Robotics Publication Society | ||||||||||||||||||||||||||||||||||||||||
ISSN: | 2771-3989 | ||||||||||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||||||||||
Stichwörter: | pose estimation, active learning, virtual reality, telepresence, aerial manipulation, uncertainty quantification, introspection | ||||||||||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||||||||||||||
HGF - Programmthema: | Robotik | ||||||||||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R RO - Robotik | ||||||||||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Erklärbare Robotische KI | ||||||||||||||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Robotik und Mechatronik (ab 2013) Institut für Robotik und Mechatronik (ab 2013) > Perzeption und Kognition | ||||||||||||||||||||||||||||||||||||||||
Hinterlegt von: | Lee, Jongseok | ||||||||||||||||||||||||||||||||||||||||
Hinterlegt am: | 29 Mär 2023 11:15 | ||||||||||||||||||||||||||||||||||||||||
Letzte Änderung: | 29 Mär 2023 11:15 |
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