Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Anastasiia Varava"'
Autor:
Oscar Gustavsson, Thomas Ziegler, Michael C Welle, Judith Bütepage, Anastasiia Varava, Danica Kragic
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 19 (2022)
Cloth manipulation remains a challenging problem for the robotic community. Recently, there has been an increased interest in applying deep learning techniques to problems in the fashion industry. As a result, large annotated data sets for cloth cate
Externí odkaz:
https://doaj.org/article/3f0877373643464d8872b59c4b5fb3ef
Autor:
Florian T. Pokorny, Anastasiia Varava, Danica Kragic, Haoran Song, Oleksandr Kravchenko, Michael Yu Wang, Kaiyu Hang
Publikováno v:
Autonomous Robots. 45:613-631
We propose a solution to the problem of herding by caging: given a set of mobile robots (called herders) and a group of moving agents (called sheep), we guide the sheep to a target location without letting them escape from the herders along the way.
Autor:
Oleksandr Kravchenko, Danica Kragic, Anastasiia Varava, Lydia E. Kavraki, Florian T. Pokorny, Didier Devaurs
Publikováno v:
Journal of Chemical Information and Modeling
We define a molecular caging complex as a pair of molecules in which one molecule (the “host” or “cage”) possesses a cavity that can encapsulate the other molecule (the “guest”) and prevent it from escaping. Molecular caging complexes can
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030954581
We present a motion planning algorithm for cases where geometry of the robot cannot be neglected and where its dynamics are governed by non-holonomic constraints. While the two problems are classically treated separately, orientation of the robot str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b034543e099919c9b7bf5b9550114f
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266371
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266371
Autor:
Jesper Karlsson, Anastasiia Varava, Cristian-Ioan Vasile, Sertac Karaman, Danica Kragic, Daniela Rus, Jana Tumova
Publikováno v:
2021 20th International Conference on Advanced Robotics (ICAR).
Capturing scene dynamics and predicting the future scene state is challenging but essential for robotic manipulation tasks, especially when the scene contains both rigid and deformable objects. In this work, we contribute a simulation environment and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94e8e103ef1a765fb48c9bd8c779a536
http://arxiv.org/abs/2103.02932
http://arxiv.org/abs/2103.02932
Autor:
Danica Kragic, Michael C. Welle, Anastasiia Varava, Ken Goldberg, Jeffrey Mahler, Florian T. Pokorny
Caging grasps limit the mobility of an object to a bounded component of configuration space. We introduce a notion of partial cage quality based on maximal clearance of an escaping path. As computing this is a computationally demanding task even in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74b92845ff36eb0cfc338690d569fd4f
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304608
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304608
Publikováno v:
The International Journal of Robotics Research
In this work we propose algorithms to explicitly construct a conservative estimate of the configuration spaces of rigid objects in 2D and 3D. Our approach is able to detect compact path components and narrow passages in configuration space which are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcea8d6bab0c00f9fc79b9959f06794c
http://arxiv.org/abs/2002.02715
http://arxiv.org/abs/2002.02715
Autor:
Danica Kragic, Thomas Ziegler, Tonci Novkovic, Anastasiia Varava, Judith Bütepage, Michael C. Welle
Publikováno v:
ICARSC
Research on automated, image based identification of clothing categories and fashion landmarks has recently gained significant interest due to its potential impact on areas such as robotic clothing manipulation, automated clothes sorting and recyclin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3c4f59bf29e5e9d47ac1393bb6a52c3
Autor:
Michael C. Welle, Petra Poklukar, Danica Kragic, Hang Yin, Anastasiia Varava, Martina Lippi, Alessandro Marino
Publikováno v:
IROS
We present a framework for visual action planning of complex manipulation tasks with high-dimensional state spaces such as manipulation of deformable objects. Planning is performed in a low-dimensional latent state space that embeds images. We define
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38a4c6f7ed4687b0d43443ed74bdcbd8
https://hdl.handle.net/11590/423050
https://hdl.handle.net/11590/423050