Zobrazeno 1 - 10
of 17
pro vyhledávání: '"David Fischinger"'
Publikováno v:
IEEE Access, Vol 7, Pp 123725-123735 (2019)
This paper presents a system enabling a mobile robot to autonomously pick-up objects a human is pointing at from the floor. The system does not require object models and is designed to grasp unknown objects. The robot decides by itself if an object i
Externí odkaz:
https://doaj.org/article/6fd57b4cc14d4af687922f68ba4fef27
Autor:
Markus Bajones, David Fischinger, Astrid Weiss, Daniel Wolf, Markus Vincze, Paloma de la Puente, Tobias Körtner, Markus Weninger, Konstantinos Papoutsakis, Damien Michel, Ammar Qammaz, Paschalis Panteleris, Michalis Foukarakis, Ilia Adami, Danai Ioannidi, Asterios Leonidis, Margherita Antona, Antonis Argyros, Peter Mayer, Paul Panek, Håkan Eftring, Susanne Frennert
Publikováno v:
Journal of Robotics, Vol 2018 (2018)
We present the robot developed within the Hobbit project, a socially assistive service robot aiming at the challenge of enabling prolonged independent living of elderly people in their own homes. We present the second prototype (Hobbit PT2) in terms
Externí odkaz:
https://doaj.org/article/3205e1314ea74e3cac310fecce24bf3d
Autor:
Konstantinos E. Papoutsakis, Damien Michel, Markus Bajones, Håkan Eftring, Markus Vincze, Michalis Foukarakis, Astrid Weiss, Asterios Leonidis, David Fischinger, Ilia Adami, Paschalis Panteleris, Daniel Wolf, Peter Mayer, Tobias Körtner, Paul Panek, Markus Weninger, Margherita Antona, Ammar Qammaz, Susanne Frennert, Danae Ioannidi, Antonis A. Argyros, Paloma de la Puente
Publikováno v:
ACM Transactions on Human-Robot Interaction, ISSN 2573-9522, 2019-12, Vol. 9, No. 2
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
In this article, we present results obtained from field trials with the Hobbit robotic platform, an assistive, social service robot aiming at enabling prolonged independent living of older adults in their own homes. Our main contribution lies within
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::129e60cfde2efca1eb21efa88ac73492
https://doi.org/10.1145/3368554
https://doi.org/10.1145/3368554
Publikováno v:
e & i Elektrotechnik und Informationstechnik
In this paper, we describe the concept and ongoing work of the project defalsif-AI, which addresses the protection of critical infrastructures against disinformation and fake news. Defalsif-AI deals particularly with the protection of the main democr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d343149323f28b5721588c8fa9d5d64
https://pubmed.ncbi.nlm.nih.gov/35693024
https://pubmed.ncbi.nlm.nih.gov/35693024
Autor:
Markus Bajones, Christian Reuther, David Fischinger, Paloma de la Puente, Markus Vincze, Daniel Wolf
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Future home and service robots will require advanced navigation and interaction capabilities. In particular, domestic environments present open challenges that are hard to identify by conducting controlled tests in home-like settings: there is the ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18c7b94d71aac50205efc7c7c044432d
http://hdl.handle.net/10261/216179
http://hdl.handle.net/10261/216179
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
IEEE Access, Vol 7, Pp 123725-123735 (2019)
instname
IEEE Access, Vol 7, Pp 123725-123735 (2019)
This paper presents a system enabling a mobile robot to autonomously pick-up objects a human is pointing at from the oor. The system does not require object models and is designed to grasp unknown objects. The robot decides by itself if an object is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::123af80c4ac4aec71829837e90c8c92d
http://hdl.handle.net/10261/215836
http://hdl.handle.net/10261/215836
Publikováno v:
ICRA
Developing robot perception systems for recognizing objects in the real-world requires computer vision algorithms to be carefully scrutinized with respect to the expected operating domain. This demands large quantities of ground truth data to rigorou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80805c7c90b883f7cfa53aeedc55a72e
Autor:
David Fischinger, Markus Suchi, LaraLammer, Markus Bajones, Daniel Wolf, Markus Vincze, Astrid Weiss
Publikováno v:
Service Robots
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb63ab04161ffdcc95c16ec72b2c9376
https://doi.org/10.5772/intechopen.70453
https://doi.org/10.5772/intechopen.70453
Publikováno v:
The International Journal of Robotics Research. 34:1167-1194
We present a system for grasping unknown objects, even from piles or cluttered scenes, given a point cloud. Our method is based on the topography of a given scene and abstracts grasp-relevant structures to enable machine learning techniques for grasp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37a28487856e36d876bd5cd2ff9184fb
https://doi.org/10.1177/0278364915577105
https://doi.org/10.1177/0278364915577105
Publikováno v:
Intelligent Autonomous Systems 14 ISBN: 9783319480350
IAS
IAS
The ability to grasp is a fundamental requirement for service robots in order to perform meaningful tasks in ordinary environments. However, its robustness can be compromised by the inaccuracy (or lack) of tactile and proprioceptive sensing, especial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07415ebc48983eb5b8fa13f7dda8ad52
https://doi.org/10.1007/978-3-319-48036-7_18
https://doi.org/10.1007/978-3-319-48036-7_18