Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Steve Grehl"'
Autor:
Sebastian Kreutzer, Steve Grehl, Michael Höhne, Oliver Simmank, Kay Dornich, Grzegorz Adamiec, Christoph Burow, Helen Roberts, Geoff Duller
Open data has become the modern science meme, and major funding bodies and publishers support open data. On a daily basis, however, the open data mandate frequently encounters technical obstacles, such as a lack of a suitable data format for data sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dced63c1e856b674889259c5b8ccac4
https://doi.org/10.5194/gchron-2022-27
https://doi.org/10.5194/gchron-2022-27
Publikováno v:
IROS
Many robotic tasks require fast and accurate force sensing capabilities to ensure adaptive behavior execution. While dedicated force-torque (FT) sensors are a common option, such devices induce extra costs, need additional power supply, and add weigh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8a47111bed2d390adcbba2c859b20be
https://doi.org/10.1109/iros40897.2019.8968052
https://doi.org/10.1109/iros40897.2019.8968052
Publikováno v:
Mining Goes Digital ISBN: 9780429320774
Mining Goes Digital
Mining Goes Digital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f65f00d0f33d7e3ab9d722148abcb5
https://doi.org/10.1201/9780429320774-70
https://doi.org/10.1201/9780429320774-70
Publikováno v:
IROS
Underground mines are a dangerous working environment and, therefore, robots could help putting less humans at risk. Traditional robots, sensors, and software often do not work reliably underground due to the harsh environment. This paper analyzes re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::112ab7030d0a75115927d40fa2a56c98
https://doi.org/10.1109/iros.2018.8594190
https://doi.org/10.1109/iros.2018.8594190
Publikováno v:
Computer Animation and Virtual Worlds. 26:227-235
Interaction meshes are a promising approach for generating natural behaviors of virtual characters during ongoing user interactions. In this paper, we propose several extensions to the interaction mesh approach based on statistical analyses of the un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb611308852b7961f8a347059c5dd73
https://doi.org/10.1002/cav.1648
https://doi.org/10.1002/cav.1648
Publikováno v:
ICRA
We present a data-driven imitation learning system for learning human-robot interactions from human-human demonstrations. During training, the movements of two interaction partners are recorded through motion capture and an interaction model is learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5a980da1e46b6b9eeb850e6b211615f
https://doi.org/10.1109/icra.2017.7989334
https://doi.org/10.1109/icra.2017.7989334
Publikováno v:
IROS
In order to ensure safe operation, robots must be able to reliably detect behavior perturbations that result from unexpected physical interactions with their environment and human co-workers. While some robots provide firmware force sensors that gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247e392856e2074a98ed658e02ae68f4
https://doi.org/10.1109/iros.2016.7759052
https://doi.org/10.1109/iros.2016.7759052
Publikováno v:
ICRA
Robotic manipulation tasks often require the control of forces and torques exerted on external objects. This paper presents a machine learning approach for estimating forces when no force sensors are present on the robot platform. In the training pha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af65dbf325d7608edf755f101d4d2c24
https://doi.org/10.1109/icra.2016.7487127
https://doi.org/10.1109/icra.2016.7487127
Publikováno v:
Intelligent Virtual Agents ISBN: 9783319097664
IVA
IVA
We address the problem of creating believable animations for virtual humans that need to react to the body movements of a human interaction partner in real-time. Our data-driven approach uses prerecorded motion capture data of two interacting persons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46e029b8382e56d82066f79a15e75fe9
https://doi.org/10.1007/978-3-319-09767-1_57
https://doi.org/10.1007/978-3-319-09767-1_57