Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Fadri Furrer"'
Autor:
Florian Tschopp, Michael Riner, Marius Fehr, Lukas Bernreiter, Fadri Furrer, Tonci Novkovic, Andreas Pfrunder, Cesar Cadena, Roland Siegwart, Juan Nieto
Publikováno v:
Sensors, Vol 20, Iss 5, p 1439 (2020)
Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with other modalities such as an inertial measurement unit (IMU) can boost robustness and accuracy.
Externí odkaz:
https://doaj.org/article/65195a790f0648f4bc9e8b69f7cdcf8f
Autor:
Fadri Furrer, Tonci Novkovic, Marius Fehr, Margarita Grinvald, Cesar Cadena, Juan Nieto, Roland Siegwart
Publikováno v:
The International Journal of Robotics Research, 42 (3)
The capabilities of discovering new knowledge and updating the previously acquired one are crucial for deploying autonomous robots in unknown and changing environments. Spatial and objectness concepts are at the basis of several robotic functionaliti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9c989c91f82fb028fe7ca259e7d4a4b
https://hdl.handle.net/20.500.11850/623351
https://hdl.handle.net/20.500.11850/623351
Autor:
Lidia Atanasova, Begüm Saral, Ema Krakovská, Joel Schmuck, Sebastian Dietrich, Fadri Furrer, Timothy Sandy, Pierluigi D’Acunto, Kathrin Dörfler
Publikováno v:
Towards Radical Regeneration ISBN: 9783031132483
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec08a9589572634c416c437544771bb3
https://doi.org/10.1007/978-3-031-13249-0_15
https://doi.org/10.1007/978-3-031-13249-0_15
Publikováno v:
The International Journal of Robotics Research. 38:1538-1548
With the progress of machine learning, the demand for realistic data with high-quality annotations has been thriving. In order to generalize well, considerable amounts of data are required, especially realistic ground-truth data, for tasks such as ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b3dd37e3c0c0594ec8d9c4b3a03dd1a
https://doi.org/10.1177/0278364919875221
https://doi.org/10.1177/0278364919875221
Publikováno v:
3DV
Current research on visual place recognition mostly focuses on aggregating local visual features of an image into a single vector representation. Therefore, high-level information such as the geometric arrangement of the features is typically lost. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f4759bada15af55ea69cc955df0848d
https://doi.org/10.1109/3dv50981.2020.00101
https://doi.org/10.1109/3dv50981.2020.00101
Autor:
Michael Riner, Juan Nieto, Marius Fehr, Tonci Novkovic, Cesar Cadena, Roland Siegwart, Andreas Pfrunder, Lukas Bernreiter, Florian Tschopp, Fadri Furrer
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 5
Sensors, Vol 20, Iss 5, p 1439 (2020)
Sensors, 20 (5)
Sensors
Volume 20
Issue 5
Sensors, Vol 20, Iss 5, p 1439 (2020)
Sensors, 20 (5)
Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with other modalities such as an inertial measurement unit (IMU) can boost robustness and accuracy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa224d7295d1b5fcf6e9dcbf93399a3d
https://pubmed.ncbi.nlm.nih.gov/32155749
https://pubmed.ncbi.nlm.nih.gov/32155749
Autor:
Juan Nieto, Cesar Cadena, Margarita Grinvald, Jen Jen Chung, Fadri Furrer, Tonci Novkovic, Roland Siegwart
To autonomously navigate and plan interactions in real-world environments, robots require the ability to robustly perceive and map complex, unstructured surrounding scenes. Besides building an internal representation of the observed scene geometry, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02b0601964ffc794e9d252a83cf49281
http://arxiv.org/abs/1903.00268
http://arxiv.org/abs/1903.00268
Publikováno v:
ICRA
Object finding in clutter is a skill that requires perception of the environment and in many cases physical interaction. In robotics, interactive perception defines a set of algorithms that leverage actions to improve the perception of the environmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::402504e2ea6a536704c873308d70e61f
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning
Enabling autonomous robots to interact in unstructured environments with dynamic objects requires manipulation capabilities that can deal with clutter, changes, and objects' variability. This paper presents a comparison of different reinforcement lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc2f7264d33c190c824cabae58b130c
Autor:
Tonci Novkovic, Fadri Furrer, Roland Siegwart, Hannes Sommer, Igor Gilitschenski, Marius Fehr
Publikováno v:
Field and Service Robotics ISBN: 9783319673608
FSR
Springer Proceedings in Advanced Robotics, 5
Field and Service Robotics: Results of the 11th International Conference
FSR
Springer Proceedings in Advanced Robotics, 5
Field and Service Robotics: Results of the 11th International Conference
Using multiple sensors often requires the knowledge of static transformations between those sensors. If these transformations are unknown, hand-eye calibration is used to obtain them. Additionally, sensors are often unsynchronized, thus requiring tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f29d44d378fb5cb7a8814321d50cda4
https://doi.org/10.1007/978-3-319-67361-5_10
https://doi.org/10.1007/978-3-319-67361-5_10