Zobrazeno 1 - 10
of 329
pro vyhledávání: '"Danica Kragic"'
Autor:
Haisheng Xia, Yuchong Zhang, Nona Rajabi, Farzaneh Taleb, Qunting Yang, Danica Kragic, Zhijun Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Most wearable robots such as exoskeletons and prostheses can operate with dexterity, while wearers do not perceive them as part of their bodies. In this perspective, we contend that integrating environmental, physiological, and physical info
Externí odkaz:
https://doaj.org/article/f581de869e094f27a02410cf5f0c35cb
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 1, Pp 199-236 (2023)
Variational auto-encoders (VAEs) are deep generative models used for unsupervised learning, however their standard version is not topology-aware in practice since the data topology may not be taken into consideration. In this paper, we propose two di
Externí odkaz:
https://doaj.org/article/6fe4d4f9cf01452ea81890add99e010f
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:
Andreas K. Engel, Paul F. M. J. Verschure, Danica Kragic, Daniel Polani, Alfred O. Effenberg, Peter König
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Externí odkaz:
https://doaj.org/article/20f961190c92448fb232fe810259e08c
Autor:
Artur Czeszumski, Anna L. Gert, Ashima Keshava, Ali Ghadirzadeh, Tilman Kalthoff, Benedikt V. Ehinger, Max Tiessen, Mårten Björkman, Danica Kragic, Peter König
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Robots start to play a role in our social landscape, and they are progressively becoming responsive, both physically and socially. It begs the question of how humans react to and interact with robots in a coordinated manner and what the neural underp
Externí odkaz:
https://doaj.org/article/6679184c13d04d8f80c35509e89e8f8e
Autor:
Veronica E. Arriola-Rios, Puren Guler, Fanny Ficuciello, Danica Kragic, Bruno Siciliano, Jeremy L. Wyatt
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Manipulation of deformable objects has given rise to an important set of open problems in the field of robotics. Application areas include robotic surgery, household robotics, manufacturing, logistics, and agriculture, to name a few. Related research
Externí odkaz:
https://doaj.org/article/327f34dd8d004e8c8d815dcea38f79b6
Autor:
Yasemin Bekiroglu, Mårten Björkman, Gabriela Zarzar Gandler, Johannes Exner, Carl Henrik Ek, Danica Kragic
Publikováno v:
Data in Brief, Vol 30, Iss , Pp 105335- (2020)
Representing 3D geometry for different tasks, e.g. rendering and reconstruction, is an important goal in different fields, such as computer graphics, computer vision and robotics. Robotic applications often require perception of object shape informat
Externí odkaz:
https://doaj.org/article/5d1df00637434e559c9d7d57bd991bcf
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
To coordinate actions with an interaction partner requires a constant exchange of sensorimotor signals. Humans acquire these skills in infancy and early childhood mostly by imitation learning and active engagement with a skilled partner. They require
Externí odkaz:
https://doaj.org/article/0519447e36f642c991991c06d67bccfb
Autor:
Florian T. Pokorny, Yasemin Bekiroglu, Karl Pauwels, Judith Butepage, Clara Scherer, Danica Kragic
Publikováno v:
Data in Brief, Vol 11, Iss C, Pp 491-498 (2017)
We present a novel approach and database which combines the inexpensive generation of 3D object models via monocular or RGB-D camera images with 3D printing and a state of the art object tracking algorithm. Unlike recent efforts towards the creation
Externí odkaz:
https://doaj.org/article/e1286bd2fb22455995734d93e411bb5d
Publikováno v:
PeerJ Computer Science, Vol 4, p e153 (2018)
We describe the Coefficient-Flow algorithm for calculating the bounding chain of an $(n-1)$-boundary on an $n$-manifold-like simplicial complex $S$. We prove its correctness and show that it has a computational time complexity of O(|S(n−1)|) (where
Externí odkaz:
https://doaj.org/article/d26316aee9594836acf8f006c2ad9b24