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On Minimizing the Number of Running Buffers for Tabletop Rearrangement

On Minimizing the Number of Running Buffers for Tabletop Rearrangement

13 May 2021
Kai-Xin Gao
S. Feng
Jingjin Yu
ArXivPDFHTML

Papers citing "On Minimizing the Number of Running Buffers for Tabletop Rearrangement"

14 / 14 papers shown
Title
Uniform Object Rearrangement: From Complete Monotone Primitives to
  Efficient Non-Monotone Informed Search
Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
Rui Wang
Kai-Xin Gao
Daniel Nakhimovich
Jingjin Yu
Kostas E. Bekris
21
39
0
28 Jan 2021
Decision Making in Joint Push-Grasp Action Space for Large-Scale Object
  Sorting
Decision Making in Joint Push-Grasp Action Space for Large-Scale Object Sorting
Zherong Pan
Kris K. Hauser
75
21
0
20 Oct 2020
Multi-Object Rearrangement with Monte Carlo Tree Search:A Case Study on
  Planar Nonprehensile Sorting
Multi-Object Rearrangement with Monte Carlo Tree Search:A Case Study on Planar Nonprehensile Sorting
Haoran Song
Joshua A. Haustein
Weihao Yuan
Kaiyu Hang
M. Y. Wang
Danica Kragic
J. A. Stork
39
55
0
15 Dec 2019
Planning for target retrieval using a robotic manipulator in cluttered
  and occluded environments
Planning for target retrieval using a robotic manipulator in cluttered and occluded environments
Changjoo Nam
Jinhwi Lee
Younggil Cho
Jeongho Lee
Dong Hwan Kim
Changhwan Kim
30
23
0
09 Jul 2019
Efficient Obstacle Rearrangement for Object Manipulation Tasks in
  Cluttered Environments
Efficient Obstacle Rearrangement for Object Manipulation Tasks in Cluttered Environments
Jinhwi Lee
Younggil Cho
Changjoo Nam
Jonghyeon Park
Changhwan Kim
33
57
0
19 Feb 2019
Complexity Results and Fast Methods for Optimal Tabletop Rearrangement
  with Overhand Grasps
Complexity Results and Fast Methods for Optimal Tabletop Rearrangement with Overhand Grasps
Shuai D. Han
Nicholas M. Stiffler
A. Krontiris
Kostas E Bekris
Jingjin Yu
51
61
0
17 Nov 2017
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in
  Cluttered Scenes
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang
Tanner Schmidt
V. Narayanan
Dieter Fox
3DPC
121
1,950
0
01 Nov 2017
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance
  Grasping and Cross-Domain Image Matching
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
Andy Zeng
Shuran Song
Kuan-Ting Yu
E. Donlon
F. Hogan
...
Druck Green
Ian H. Taylor
Weber Liu
Thomas Funkhouser
Alberto Rodriguez
59
631
0
03 Oct 2017
Learning to Singulate Objects using a Push Proposal Network
Learning to Singulate Objects using a Push Proposal Network
Andreas Eitel
Nico Hauff
Wolfram Burgard
83
83
0
25 Jul 2017
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
3DPC
3DV
87
1,264
0
27 Mar 2017
A Self-supervised Learning System for Object Detection using Physics
  Simulation and Multi-view Pose Estimation
A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation
Chaitanya Mitash
Kostas E. Bekris
Abdeslam Boularias
44
116
0
09 Mar 2017
High precision grasp pose detection in dense clutter
High precision grasp pose detection in dense clutter
Marcus Gualtieri
A. T. Pas
Kate Saenko
Robert Platt
3DPC
61
303
0
04 Mar 2016
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
282
3,431
0
02 Apr 2015
Data-Driven Grasp Synthesis - A Survey
Data-Driven Grasp Synthesis - A Survey
Jeannette Bohg
A. Morales
Tamim Asfour
Danica Kragic
66
1,033
0
10 Sep 2013
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