Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols and Metrics
IEEE Trans Autom Sci Eng
.
2018;15(4):10.1109/TASE.2018.2871354.
doi: 10.1109/TASE.2018.2871354.
Authors
Jeffrey Mahler
1
,
Rob Platt
2
,
Alberto Rodriguez
3
,
Matei Ciocarlie
4
,
Aaron Dollar
5
,
Renaud Detry
6
,
Maximo A Roa
7
,
Holly Yanco
8
,
Adam Norton
9
,
Joe Falco
10
,
Karl van Wyck
11
,
Elena Messina
12
,
Jurgen 'Juxi' Leitner
13
,
Oliver Brock
14
,
Lael Odhner
15
,
Andrey Kurenkov
16
,
Matthew Matl
17
,
Ken Goldberg
18
Affiliations
1
University of California, Berkeley, Department of Electrical Engineering and Computer Sciences,
[email protected]
.
2
Northeastern University, College of Computer Science,
[email protected]
.
3
Massachusetts Institute of Technology, Department of Mechanical Engineering,
[email protected]
.
4
Columbia Univerisity, Department of Mechanical Engineering,
[email protected]
.
5
Yale University, Department of Mechanical Engineering and Materials Science,
[email protected]
.
6
NASA Jet Propulsion Laboratory, Mobility and Robotics Section,
[email protected]
.
7
German Aerospace Center (DLR), Institute of Robotics and Mechatronics,
[email protected]
.
8
University of Massachusetts, Lowell, Department of Computer Science,
[email protected]
.
9
University of Massachusetts, Lowell, Department of Computer Science,
[email protected]
.
10
National Institue of Standards and Technology,
[email protected]
.
11
National Institue of Standards and Technology,
[email protected]
.
12
National Institue of Standards and Technology,
[email protected]
.
13
Queensland University of Technology, Australian Centre for Robotic Vision (ACRV),
[email protected]
.
14
Technical University of Berlin, Department of Computer Engineering and Microelectronics,
[email protected]
.
15
RightHand Robotics,
[email protected]
.
16
Stanford University and University of California, Berkeley, Department of Computer Science,
[email protected]
.
17
University of California, Berkeley, Department of Electrical Engineering and Computer Sciences,
[email protected]
.
18
University of California, Berkeley, Department of Industrial Engineering and Operations Research,
[email protected]
.
PMID:
30983918
PMCID:
PMC6459022
DOI:
10.1109/TASE.2018.2871354
No abstract available
Grants and funding
9999-NIST/Intramural NIST DOC/United States