Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Justinas Miseikis"'
Autor:
Patricia Duchamp, Nelija Miseikiene, Lucas Eicher, Justinas Miseikis, Michael Fruh, Rastislav Marko, Alina Gasser, Frederik Zwilling, Charles de Castelbajac, Pietro Caroni, Hansruedi Fruh
Publikováno v:
Ieee Robotics and Automation Letters
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters
Lio is a mobile robot platform with a multi-functional arm explicitly designed for human-robot interaction and personal care assistant tasks. The robot has already been deployed in several health care facilities, where it is functioning autonomously,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a1361897d61632b6cac87570ca4ec08
https://doi.org/10.1109/lra.2020.3007462
https://doi.org/10.1109/lra.2020.3007462
Autor:
Ole Jakob Elle, Saeed Yahyanejad, Inka Brijacak, Kyrre Glette, Justinas Miseikis, Jim Torresen
Publikováno v:
ICRA
Collaborative robots are becoming more common on factory floors as well as regular environments, however, their safety still is not a fully solved issue. Collision detection does not always perform as expected and collision avoidance is still an acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::508255a26f7ad621c3f16ed20d7bd9d1
https://doi.org/10.1109/icra.2019.8794077
https://doi.org/10.1109/icra.2019.8794077
Autor:
Inka Brijacak, Kyrre Glette, Jim Torresen, Ole Jakob Elle, Saeed Yahyanejad, Justinas Miseikis
Publikováno v:
ISR
A significant problem of using deep learning techniques is the limited amount of data available for training. There are some datasets available for the popular problems like item recognition and classification or self-driving cars, however, it is ver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e77654f9547a83f537a4b7933b2a6ff
https://doi.org/10.1109/iisr.2018.8535937
https://doi.org/10.1109/iisr.2018.8535937
Autor:
Jim Torresen, Kyrre Glette, Inka Brijacak, Saeed Yahyanejad, Ole Jakob Elle, Justinas Miseikis
Publikováno v:
UR
The field of collaborative robotics and human-robot interaction often focuses on the prediction of human behaviour, while assuming the information about the robot setup and configuration being known. This is often the case with fixed setups, which ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f6d50ec8edee65fe9a2e6d2cfeefd60
https://doi.org/10.1109/urai.2018.8441813
https://doi.org/10.1109/urai.2018.8441813
Autor:
Inka Brijacak, Ole Jakob Elle, Saeed Yahyanejad, Kyrre Glette, Patrick Knöbelreiter, Jim Torresen, Justinas Miseikis
Publikováno v:
AIM
Many works in collaborative robotics and human-robot interaction focuses on identifying and predicting human behaviour while considering the information about the robot itself as given. This can be the case when sensors and the robot are calibrated i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dee1749c6f4cadebca999f7eac473c01
http://hdl.handle.net/10852/67770
http://hdl.handle.net/10852/67770
Publikováno v:
TU Graz
Electric vehicles (EVs) and plug-in hybrid vehicles (PHEVs) are rapidly gaining popularity on our roads. Besides a comparatively high purchasing price, the main two problems limiting their use are the short driving range and inconvenient charging pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d22bede02cb64a0071777ec216e7f3b
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-12
Efficient pedestrian detection is a key aspect of many intelligent vehicles. In this context, vision-based detection has increased in popularity. Algorithms proposed often consider that the camera is mobile (on board a vehicle) or static (mounted on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c0f9f9048c07926f46fbec8693c6eb6
https://doi.org/10.1109/tits.2014.2350979
https://doi.org/10.1109/tits.2014.2350979
Publikováno v:
SII
With 3D sensing becoming cheaper, environment-aware and visually-guided robot arms capable of safely working in collaboration with humans will become common. However, a reliable calibration is needed, both for camera internal calibration, as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dae58b611b80af7fb3ecaf92131bd72
https://doi.org/10.1109/sii.2016.7844087
https://doi.org/10.1109/sii.2016.7844087
With advancing technologies, robotic manipulators and visual environment sensors are becoming cheaper and more widespread. However, robot control can be still a limiting factor for better adaptation of these technologies. Robotic manipulators are per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a7970bfe1b26e4a78dc1c5ca6ca6cb3
Autor:
Margit Gföhler, Franco Molteni, Peter Schenk, Maria Bulgheroni, Marco Hack, Lina Graber, Alessandra Pedrocchi, Sven Zwicker, Thomas Schauer, Eleonora Guanziroli, Emilia Ambrosini, Enrico D’Amico, Alexander Duschau-Wicke, Werner Reichenfelser, Andreas Jedlitschka, Mauro Rossini, Carmen Vidaurre, Giancarlo Ferrigno, Simona Ferrante, Giovanna Palumbo, Javier Pascual, Jakob Karner, Justinas Miseikis, Silvestro Micera, Christian Klauer, Claudia Casellato, Andrea Crema, Marta Gandolla
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, 10
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation
Background MUNDUS is an assistive framework for recovering direct interaction capability of severely motor impaired people based on arm reaching and hand functions. It aims at achieving personalization, modularity and maximization of the user’s dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::887810e3a937f221d21a66d9b251d3b7
http://hdl.handle.net/11382/420408
http://hdl.handle.net/11382/420408