Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Alessandro Pieropan"'
Autor:
Karl Pauwels, Alessandro Pieropan, Danica Kragic, Michele Colledanchise, E B Francisco Vina, Kaiyu Hang
Publikováno v:
Advances on Robotic Item Picking ISBN: 9783030356781
In this paper we present the system we developed for the Amazon Picking Challenge 2015, and discuss some of the lessons learned that may prove useful to researchers and future teams developing autonomous robot picking systems. For the competition we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdfc129aa4e2a97dacc6e3c810c5d7ff
https://doi.org/10.1007/978-3-030-35679-8_1
https://doi.org/10.1007/978-3-030-35679-8_1
Autor:
Alessandro Pieropan, Stefano Mattoccia, Hedvig Kjellström, Miquel Martí, Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti
Publikováno v:
ICRA
Scene understanding is paramount in robotics, self-navigation, augmented reality, and many other fields. To fully accomplish this task, an autonomous agent has to infer the 3D structure of the sensed scene (to know where it looks at) and its content
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dabaa3dbbc5236fc8a2f95b373440b56
https://hdl.handle.net/11585/764255
https://hdl.handle.net/11585/764255
Publikováno v:
Advanced Robotics. 30:258-269
Object tracking is a fundamental ability for a robot; manipulation as well as activity recognition relies on the robot being able to follow objects in the scene. This paper presents a tracker that adapts to changes in object appearance and is able to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::938059cbaf9d356f3a0f50df110990f6
https://doi.org/10.1080/01691864.2015.1129360
https://doi.org/10.1080/01691864.2015.1129360
Publikováno v:
IROS
Humans interact with deformable objects on a daily basis but this still represents a challenge for robots. To enable manipulation of and interaction with deformable objects, robots need to be able to extract and learn the deformability of objects bot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da8de537f2cfab65bbd4de1ad78e220b
https://doi.org/10.1109/iros.2017.8206489
https://doi.org/10.1109/iros.2017.8206489
Publikováno v:
ICRA
This work employs an adaptive learning mechanism to perform tracking of an unknown object through RGBD cameras. We extend our previous framework to robustly track a wider range of arbitrarily shaped objects by adapting the model to the measured objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc69c2bc8c2129e2faf31403bee467b8
https://doi.org/10.1109/icra.2016.7487179
https://doi.org/10.1109/icra.2016.7487179
Publikováno v:
Humanoids
Knowledge of the physical properties of objects is essential in a wide range of robotic manipulation scenarios. A robot may not always be aware of such properties prior to interaction. If an object is incorrectly assumed to be rigid, it may exhibit u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7235ef03028bb0b512ed12fbde00e5b4
https://doi.org/10.1109/humanoids.2015.7363486
https://doi.org/10.1109/humanoids.2015.7363486
Publikováno v:
ICRA
Visual tracking of unknown objects is an essential task in robotic perception, of importance to a wide range of applications. In the general scenario, the robot has no full 3D model of the object beforehand, just the partial view of the object visibl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3de994caf84951ed340ebef45d076c97
https://doi.org/10.1109/icra.2015.7139520
https://doi.org/10.1109/icra.2015.7139520
Publikováno v:
IROS
This thesis builds on the observation that robots cannot be programmed to handle any possible situation in the world. Like humans, they need mechanisms to deal with previously unseen situations and unknown objects. One of the skills humans rely on to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfdc2c22260a482f22d06fe9ca95ecaa
https://doi.org/10.1109/iros.2014.6942983
https://doi.org/10.1109/iros.2014.6942983
Autor:
Alessandro Pieropan, Hedvig Kjellström
Publikováno v:
RO-MAN
In order for robots to function in unstructured environments in interaction with humans, they must be able to reason about the world in a semantic meaningful way. An essential capability is to segment the world into semantic plausible object hypothes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b71b031bc70f704d6e9a754e3c9209
https://doi.org/10.1109/roman.2014.6926302
https://doi.org/10.1109/roman.2014.6926302
Publikováno v:
Humanoids
University of Bristol-PURE
University of Bristol-PURE
In this paper we describe a probabilistic framework that models the interaction between multiple objects in a scene.We present a spatio-temporal feature encoding pairwise interactions between each object in the scene. By the use of a kernel represent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f46d256b30726498a093bb101b89302a
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158008
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158008