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Perceiving and manipulating 3D articulated objects in diverse environments is essential for home-assistant robots.
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Luis Montesano and Manuel Lopes · 2009
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A probabilistic framework for learning kinematic models of articulated objects
Jürgen Sturm, Cyrill Stachniss, and Wolfram Burgard · 2011
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Mia Kokic, Johannes A. Stork, Joshua A. Haustein, and Danica Kragic · 2017
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Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Yan Zhu, Yuandong Tian, Dimitris Metaxas, and Piotr Dollár · 2017
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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, Elliott Donlon, Francois R Hogan, Maria Bauza, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, et al · 2018
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Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui, Jia-Bin Huang, and Alexander G Schwing · 2019
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Efficient obstacle rearrangement for object manipulation tasks in cluttered environments
Jinhwi Lee, Younggil Cho, Changjoo Nam, Jonghyeon Park, and Changhwan Kim · 2019
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PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding
Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, and Hao Su · 2019
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Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, and Kai Xu · 2019
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RPM-NET: Recurrent prediction of motion and parts from point cloud
Zhihao Yan, Ruizhen Hu, Xingguang Yan, Luanmin Chen, Oliver van Kaick, Hao Zhang, and Hui Huang · 2019
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Where to relocate?: Object rearrangement inside cluttered and confined environments for robotic manipulation
Sang Hun Cheong, Brian Y Cho, Jinhwi Lee, ChangHwan Kim, and Changjoo Nam · 2020
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Ganhand: Predicting human grasp affordances in multi-object scenes
Enric Corona, Albert Pumarola, Guillem Alenya, Francesc Moreno-Noguer, and Grégory Rogez · 2020
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Mia Kokic, Danica Kragic, and Jeannette Bohg · 2020
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Visuomotor mechanical search: Learning to retrieve target objects in clutter
Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martín-Martín, and Silvio Savarese · 2020
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Category-level articulated object pose estimation
Xiaolong Li, He Wang, Li Yi, Leonidas J Guibas, A Lynn Abbott, and Shuran Song · 2020
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Nothing but geometric constraints: A model-free method for articulated object pose estimation
Qihao Liu, Weichao Qiu, Weiyao Wang, Gregory D Hager, and Alan L Yuille · 2020
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Robust instance segmentation through reasoning about multi-object occlusion
Xiaoding Yuan, Adam Kortylewski, Yihong Sun, and Alan Yuille · 2021
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Alan L Yuille and Chenxi Liu · 2021
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Flowbot3d: Learning 3d articulation flow to manipulate articulated objects
Ben Eisner*, Harry Zhang*, and David Held · 2022
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Ditto: Building digital twins of articulated objects from interaction
Zhenyu Jiang, Cheng-Chun Hsu, and Yuke Zhu · 2022
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Sampling-based planning for retrieving near-cylindrical objects in cluttered scenes using hierarchical graphs
Hao Tian, Chaoyang Song, Changbo Wang, Xinyu Zhang, and Jia Pan · 2022
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Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions
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Kinematic structures estimation on the rgb-d images
Rafał Staszak, Milena Molska, Kamil Młodzikowski, Justyna Ataman, and Dominik Belter · 2020
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Robust object detection under occlusion with context-aware compositionalnets
Angtian Wang, Yihong Sun, Adam Kortylewski, and Alan L Yuille · 2020
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SAPIEN: A simulated part-based interactive environment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, and Hao Su · 2020
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Self-supervised scene de-occlusion
Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, and Chen Change Loy · 2020
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Act the part: Learning interaction strategies for articulated object part discovery
Samir Yitzhak Gadre, Kiana Ehsani, and Shuran Song · 2021
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Visual foresight trees for object retrieval from clutter with nonprehensile rearrangement
Baichuan Huang, Shuai D Han, Jingjin Yu, and Abdeslam Boularias · 2021
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Deep occlusion-aware instance segmentation with overlapping bilayers
Lei Ke, Yu-Wing Tai, and Chi-Keung Tang · 2021
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Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas Guibas, and Hao Dong · 2022
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VAT-mart: Learning visual action trajectory proposals for manipulating 3d ARTiculated objects
Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, and Hao Dong · 2022
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Umpnet: Universal manipulation policy network for articulated objects
Zhenjia Xu, He Zhanpeng, and Shuran Song · 2022
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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, Elliott Donlon, Francois R Hogan, Maria Bauza, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, et al · 2022
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A tri-layer plugin to improve occluded detection
Guanqi Zhan, Weidi Xie, and Andrew Zisserman · 2022
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End-to-end affordance learning for robotic manipulation
Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang, and Hao Dong · 2023
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Maniskill2: A unified benchmark for generalizable manipulation skills
Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, et al · 2023
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Tracking through containers and occluders in the wild, 2023
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Ditto in the house: Building articulation models of indoor scenes through interactive perception
Cheng-Chun Hsu, Zhenyu Jiang, and Yuke Zhu · 2023
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Where2explore: Few-shot affordance learning for unseen novel categories of articulated objects
Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, and Hao Dong · 2023
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Selective object rearrangement in clutter
Bingjie Tang and Gaurav S Sukhatme · 2023
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Learning foresightful dense visual affordance for deformable object manipulation
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Dualafford: Learning collaborative visual affordance for dual-gripper object manipulation
Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, and Hao Dong · 2023
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