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On CAD Informed Adaptive Robotic Assembly

On CAD Informed Adaptive Robotic Assembly

2 August 2022
Yotto Koga
H. Kerrick
Sachin Chitta
ArXiv (abs)PDFHTML

Papers citing "On CAD Informed Adaptive Robotic Assembly"

8 / 8 papers shown
Title
Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting
  and Assembly Tasks using General Purpose Grippers and Tools
Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools
Felix von Drigalski
Chisato Nakashima
Yoshiya Shibata
Yoshinori Konishi
Joshua C. Triyonoputro
...
Taku Yoshioka
Yoshihisa Ijiri
I. Ramirez-Alpizar
Weiwei Wan
Kensuke Harada
26
19
0
05 Mar 2020
REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in
  Point Clouds
REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds
Binglei Zhao
Hanbo Zhang
Xuguang Lan
Haoyu Wang
Zhiqiang Tian
Nanning Zheng
3DPC
63
12
0
28 Feb 2020
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose
  Estimation
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
Yisheng He
Wei Sun
Haibin Huang
Jianran Liu
Haoqiang Fan
Jian Sun
3DPC
150
470
0
11 Nov 2019
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
Yasuhiro Aoki
Hunter Goforth
Rangaprasad Arun Srivatsan
Simon Lucey
3DV3DPC
75
758
0
13 Mar 2019
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp
  Synthesis Approach
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
D. Morrison
Peter Corke
Jurgen Leitner
3DV
104
558
0
14 Apr 2018
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point
  Clouds and Analytic Grasp Metrics
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Jeffrey Mahler
Jacky Liang
Sherdil Niyaz
Michael Laskey
R. Doan
Xinyu Liu
J. A. Ojea
Ken Goldberg
3DPC3DV
103
1,268
0
27 Mar 2017
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
211
1,580
0
28 Nov 2016
Real-Time Grasp Detection Using Convolutional Neural Networks
Real-Time Grasp Detection Using Convolutional Neural Networks
Joseph Redmon
A. Angelova
111
796
0
09 Dec 2014
1