Výsledky vyhledávání - "Andrei Haidu"

Knowledge-Enabled Generation of Semantically Annotated Image Sequences of Manipulation Activities from VR Demonstrations

Autor: Andrei Haidu, Michael Beetz, Xiaoyue Zhang

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030871550
ICVS

This work presents a cloud-to-edge framework capable of collecting and annotating synthetic images from human performances in virtual environments with the purpose of enabling the training and deployment of robot vision models. The virtual environmen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3656b5b825551ea5d8214b079d52c6be
https://doi.org/10.1007/978-3-030-87156-7_11

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Learning Motion Parameterizations of Mobile Pick and Place Actions from Observing Humans in Virtual Environments

Autor: Gayane Kazhoyan, Sebastian Koralewski, Michael Beetz, Alina Hawkin, Andrei Haidu

Publikováno v: IROS

In this paper, we present an approach and an implemented pipeline for transferring data acquired from observing humans in virtual environments onto robots acting in the real world, and adapting the data accordingly to achieve successful task executio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7633e8402bb1d4f7c2bef015b3338724
https://doi.org/10.1109/iros45743.2020.9341458

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Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration

Autor: Michael Beetz, Andrei Haidu

Publikováno v: ICRA

In this paper we present a system capable of collecting and annotating, human performed, robot understandable, everyday activities from virtual environments. The human movements are mapped in the simulated world using off-the-shelf virtual reality de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c80cf02091ef4275304bb63e75aedc

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Cut & recombine reuse of robot action components based on simple language instructions

Autor: Ales Ude, Daiva Vitkute-Adzgauskiene, Rita Valteryte, Jan-Matthias Braun, Tomas Krilavičius, Andrei Haidu, Jurgita Kapociute-Dzikiene, Mohamad Javad Aein, Norbert Krüger, Ole Madsen, Michael Beetz, Barry Ridge, Florentin Wörgötter, Dimitrios Chrysostomou, Tomas Kulvicius, Minija Tamosiunaite, Irena Markievicz

Publikováno v: Tamosiunaite, M, Aein, M J, Braun, J M, Kulvicius, T, Markievicz, I, Kapociute-Dzikiene, J, Valteryte, R, Haidu, A, Chrysostomou, D, Ridge, B, Krilavicius, T, Vitkute-Adzgauskiene, D, Beetz, M, Madsen, O, Ude, A, Krüger, N & Wörgötter, F 2019, ' Cut & recombine reuse of robot action components based on simple language instructions ', International Journal of Robotics Research, vol. 38, no. 10-11, pp. 1179-1207 . https://doi.org/10.1177/0278364919865594
Tamosiunaite, M, Aein, M J, Braun, J-M, Kulvicius, T, Markievicz, I, Kapociute-Dzikiene, J, Valteryte, R, Haidu, A, Chrysostomou, D-C, Bridge, B, Krilavicius, T, Vitkute-Adzgauskiene, D, Beetz, M, Madsen, O, Ude, A, Krüger, N & Wörgötter, F 2019, ' Cut & Recombine : Reuse of Robot Action Components Based on Simple Language Instructions ', The International Journal of Robotics Research, vol. 38, no. 10-11, pp. 1179-1207 . https://doi.org/10.1177/0278364919865594

Human beings can generalize from one action to similar ones. Robots cannot do this and progress concerning information transfer between robotic actions is slow. We have designed a system that performs action generalization for manipulation actions in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46499ca7ac856bdc5cd0389c3132812f
https://vbn.aau.dk/ws/files/317439123/0278364919865594.pdf

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Automated Models of Human Everyday Activity based on Game and Virtual Reality Technology

Autor: Andrei Haidu, Michael Beetz

Publikováno v: ICRA
2019 International Conference on Robotics and Automation (ICRA)

In this paper, we will describe AMEvA (Automated Models of Everyday Activities), a special-purpose knowledge acquisition, interpretation, and processing system for human everyday manipulation activity that can automatically: (1) create and simulate v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f987c2cab2af2d5d1c6275a1dd2756d
https://doi.org/10.1109/icra.2019.8793859

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Cognition-enabled Framework for Mixed Human-Robot Rescue Teams

Autor: Fereshta Yazdani, Ferenc Balint-Benczedi, Andrei Haidu, Asil Kaan Bozcuoglu, Daniel Bebler, Gayane Kazhoyan, Michael Beetz, Mihai Pomarlan

Publikováno v: IROS

With the advancements in robotic technology and the progress in human-robot interaction research, the interest in deploying mixed human-robot teams in rescue missions is increasing. Due to their complementary capabilities in terms of locomotion, visi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04104a744d18cc51bb7e8c177695af32
https://doi.org/10.1109/iros.2018.8594311

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KnowRobSIM — Game Engine-Enabled Knowledge Processing Towards Cognition-Enabled Robot Control

Autor: Andrei Haidu, Daniel Bebler, Asil Kaan Bozcuoglu, Michael Beetz

Publikováno v: IROS

AI knowledge representation and reasoning methods consider actions to be blackboxes that abstract away from how they are executed. This abstract view does not suffice for the decision making capabilities required by robotic agents that are to accompl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e9b458fc964494373be38bcb918ad1ef
https://doi.org/10.1109/iros.2018.8593935

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