Fetching the paper…
Reading the bibliography…
We want to build robots that are useful in unstructured real world applications, such as doing work in the household.
Constructing force-closure grasps
V. D. Nguyen · 1986
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Springer Handbook of Robotics
B. Siciliano and O. Khatib · 2007
Earlier work this paper cites.
Openrave: A planning architecture for autonomous robotics
R. Diankov and J. Kuffner · 2008
Earlier work this paper cites.
Visual servoing for humanoid grasping and manipulation tasks
N. Vahrenkamp, S. Wieland, P. Azad, D. I. Gonzalez-Aguirre, T. Asfour, and R. Dillmann · 2008
Earlier work this paper cites.
Combined shape, appearance and silhouette for simultaneous manipulator and object tracking
P. Hebert, N. Hudson, J. Ma, T. Howard, T. Fuchs, M. Bajracharya, and J. Burdick · 2012
Earlier work this paper cites.
Computer vision for fruit harvesting robots – state of the art and challenges ahead
K. Kapach, E. Barnea, R. Mairon, Y. Edan, and O. Ben-Shahar · 2012
Earlier work this paper cites.
3dnet: Large-scale object class recognition from cad models
W. Wohlkinger, A. Aldoma Buchaca, R. Rusu, and M. Vincze · 2012
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Cited alongside, same era.
Deep learning for detecting robotic grasps
I. Lenz, H. Lee, and A. Saxena · 2015
Cited alongside, same era.
Leveraging big data for grasp planning
D. Kappler, J. Bohg, and S. Schaal · 2015
Cited alongside, same era.
Real-time grasp detection using convolutional neural networks
J. Redmon and A. Angelova · 2015
Cited alongside, same era.
Using geometry to detect grasp poses in 3d point clouds
A. ten Pas and R. Platt · 2015
End-to-end training of deep visuomotor policies
S. Levine, C. Finn, T. Darrell, and P. Abbeel · 2016
Later among the works it cites.
High precision grasp pose detection in dense clutter
M. Gualtieri, A. ten Pas, K. Saenko, and R. Platt · 2016
Later among the works it cites.
Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
L. Pinto and A. Gupta · 2016
Later among the works it cites.
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
S. Levine, P. Pastor, A. Krizhevsky, and D. Quillen · 2016
Later among the works it cites.
Active vision for dexterous grasping of novel objects
E. Arruda, J. Wyatt, and M. Kopicki · 2016
Later among the works it cites.
Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
J. Mahler, J. Liang, S. Niyaz, M. Laskey, R. Doan, X. Liu, J. A. Ojea, and K. Goldberg · 2017
Closest in time.