Inferring Occluded Geometry Improves Performance when Retrieving an Object from Dense Clutter

20 July 2019

Papers citing "Inferring Occluded Geometry Improves Performance when Retrieving an Object from Dense Clutter"

7 / 7 papers shown

Title
OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation Hao Ding Yiming Zeng Zhaoliang Wan Hui Cheng 60 1 0 06 Mar 2025
Resolution Complete In-Place Object Retrieval given Known Object Models Daniel Nakhimovich Yinglong Miao Kostas E. Bekris 29 0 0 25 Mar 2023
Effective and Robust Non-Prehensile Manipulation via Persistent Homology Guided Monte-Carlo Tree Search Ewerton R. Vieira Kai-Xin Gao Daniel Nakhimovich Kostas E. Bekris Jingjin Yu 26 2 0 04 Oct 2022
Mechanical Search on Shelves using a Novel "Bluction" Tool Huang Huang Michael Danielczuk C. Kim Letian Fu Zachary Tam Jeffrey Ichnowski A. Angelova Brian Ichter Ken Goldberg 48 17 0 22 Jan 2022
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling S. Back Joosoon Lee Taewon Kim Sangjun Noh Raeyoung Kang Seongho Bak Kyoobin Lee 42 67 0 23 Sep 2021
Mechanical Search on Shelves using Lateral Access X-RAY Huang Huang Marcus Dominguez-Kuhne Jeffrey Ichnowski V. Satish Michael Danielczuk Kate Sanders Andrew Lee A. Angelova Vincent Vanhoucke Ken Goldberg 19 30 0 23 Nov 2020
Associative3D: Volumetric Reconstruction from Sparse Views Shengyi Qian Linyi Jin David Fouhey 42 20 0 27 Jul 2020