End-to-end learning to grasp via sampling from object point clouds

Antonio Alliegro; Martin Rudorfer; Fabio Frattin; Ales Leonardis; Tatiana Tommasi

End-to-end learning to grasp via sampling from object point clouds

Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Ales Leonardis, Tatiana Tommasi

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

174 Downloads (Pure)

Original language	English
Title of host publication	2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Publisher	IEEE
Publication status	Accepted/In press - 30 Jun 2022
Event	2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 - Kyoto International Conference Center, Kyoto, Japan Duration: 23 Oct 2022 → 27 Oct 2022 https://iros2022.org/

Publication series

Name	IEEE/RSJ International Conference on Intelligent Robots and Systems
Publisher	IEEE
ISSN (Print)	2153-0858
ISSN (Electronic)	2153-0866

Conference

Conference	2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022
Abbreviated title	IROS 2022
Country/Territory	Japan
City	Kyoto
Period	23/10/22 → 27/10/22
Internet address	https://iros2022.org/

Bibliographical note

Not yet published as of 08/04/2024.

Access to Document

AlliegroA2022EndAccepted author manuscript, 2.85 MB

Cite this

@inproceedings{e74dde7d2d5940ed845ab2d36efddb05,

title = "End-to-end learning to grasp via sampling from object point clouds",

author = "Antonio Alliegro and Martin Rudorfer and Fabio Frattin and Ales Leonardis and Tatiana Tommasi",

note = "Not yet published as of 08/04/2024.; 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, IROS 2022 ; Conference date: 23-10-2022 Through 27-10-2022",

year = "2022",

month = jun,

day = "30",

language = "English",

series = "IEEE/RSJ International Conference on Intelligent Robots and Systems",

publisher = "IEEE",

booktitle = "2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)",

url = "https://iros2022.org/",

}

Alliegro, A, Rudorfer, M, Frattin, F, Leonardis, A & Tommasi, T 2022, End-to-end learning to grasp via sampling from object point clouds. in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, 23/10/22.

End-to-end learning to grasp via sampling from object point clouds. / Alliegro, Antonio; Rudorfer, Martin; Frattin, Fabio et al.
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). IEEE, 2022. (IEEE/RSJ International Conference on Intelligent Robots and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - End-to-end learning to grasp via sampling from object point clouds

AU - Alliegro, Antonio

AU - Rudorfer, Martin

AU - Frattin, Fabio

AU - Leonardis, Ales

AU - Tommasi, Tatiana

N1 - Not yet published as of 08/04/2024.

PY - 2022/6/30

Y1 - 2022/6/30

UR - https://arxiv.org/abs/2203.05585

UR - https://ieeexplore.ieee.org/xpl/conhome/1000393/all-proceedings

M3 - Conference contribution

T3 - IEEE/RSJ International Conference on Intelligent Robots and Systems

BT - 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

PB - IEEE

T2 - 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022

Y2 - 23 October 2022 through 27 October 2022

ER -