Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Josip Josifovski"'
Publikováno v:
IEEE Access, Vol 9, Pp 13159-13172 (2021)
Gas source localization tackles the problem of finding leakages of hazardous substances such as poisonous gases or radiation in the event of a disaster. In order to avoid threats for human operators, autonomous robots dispatched for localizing potent
Externí odkaz:
https://doaj.org/article/48fdcfc710294b3ca3f56b931a4c5d0c
The object perception capabilities of humans are impressive, and this becomes even more evident when trying to develop solutions with a similar proficiency in autonomous robots. While there have been notable advancements in the technologies for artif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a50c39304368fbc0de0e08d3742875c9
http://arxiv.org/abs/2203.11544
http://arxiv.org/abs/2203.11544
State-of-the-art reinforcement learning algorithms predominantly learn a policy from either a numerical state vector or images. Both approaches generally do not take structural knowledge of the task into account, which is especially prevalent in robo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2280dd057a80453cf7d2c1154731862f
Autor:
Josip Josifovski, Mohammadhossein Malmir, Noah Klarmann, Bare Luka Zagar, Nicolas Navarro-Guerrero, Alois Knoll
Randomization is currently a widely used approach in Sim2Real transfer for data-driven learning algorithms in robotics. Still, most Sim2Real studies report results for a specific randomization technique and often on a highly customized robotic system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a3362d5ccf70ba10f1e3552ef5d08f9
Publikováno v:
IROS
Instance-based object detection and fine pose estimation is an active research problem in computer vision. While the traditional interest-point-based approaches for pose estimation are precise, their applicability in robotic tasks relies on controlle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285edf46cd34ad5e8ecf2ece6095a930
https://doi.org/10.1109/iros.2018.8594379
https://doi.org/10.1109/iros.2018.8594379
Autor:
Sibel Toprak, Alireza M. Bahnemiri, Nicolás Navarro-Guerrero, Erik Strahl, Stefan Heinrich, Josip Josifovski, Melanie Remmels, Stefan Wermter, Abhilash Chandran, Johannes Twiefel, Debasish Sahu, Leena Chennuru Vankadara, Iris Wieser, Faiz Ul Wahab, Ahmed El Shinawi, Andreas Grenzing, Tobias Hinz, Sayantan Auddy, Ethem Can Karaoğuz
Publikováno v:
KI 2016: Advances in Artificial Intelligence ISBN: 9783319460727
KI
KI
We present the robotic system IRMA Interactive Robotic Memory Aid that assists humans in their search for misplaced belongings within a natural home-like environment. Our stand-alone system integrates state-of-the-art approaches in a novel manner to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a698f4e8dd80b5a15eaf0de6ef7adaf
https://doi.org/10.1007/978-3-319-46073-4_8
https://doi.org/10.1007/978-3-319-46073-4_8