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Perceiving and interacting with 3D articulated objects, such as cabinets, doors, and faucets, pose particular challenges for future home-assistant robots performing daily tasks in human environments.
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Hedvig Kjellström, Javier Romero, and Danica Kragić · 2011
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Tanner Schmidt, Richard A Newcombe, and Dieter Fox · 2014
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Dimitrios Tzionas and Juergen Gall · 2016
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Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Wenhao Yu, Jie Tan, C Karen Liu, and Greg Turk · 2017
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Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, and Joseph J Lim · 2018
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Michael Janner, Sergey Levine, William T Freeman, Joshua B Tenenbaum, Chelsea Finn, and Jiajun Wu · 2018
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Deep part induction from articulated object pairs
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, and Leonidas Guibas · 2018
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Fabio Ferreira, Lin Shao, Tamim Asfour, and Jeannette Bohg · 2019
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Estimating mass distribution of articulated objects using non-prehensile manipulation
K Niranjan Kumar, Irfan Essa, Sehoon Ha, and C Karen Liu · 2019
Learning affordance landscapes for interaction exploration in 3d environments
Tushar Nagarajan and Kristen Grauman · 2020
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William Qi, Ravi Teja Mullapudi, Saurabh Gupta, and Deva Ramanan · 2020
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Putting humans in a scene: Learning affordance in 3d indoor environments
Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, and Jan Kautz · 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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Efficient off-policy meta-reinforcement learning via probabilistic context variables
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Doorgym: A scalable door opening environment and baseline agent
Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, and Pieter Abbeel · 2019
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Shape2motion: Joint analysis of motion parts and attributes from 3d shapes
Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, and Kai Xu · 2019
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Densephysnet: Learning dense physical object representations via multi-step dynamic interactions
Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B Tenenbaum, and Shuran Song · 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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Tony Z Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, and Sergey Levine · 2020
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Few shot system identification for reinforcement learning
Karim Farid and Nourhan Sakr · 2021
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Captra: Category-level pose tracking for rigid and articulated objects from point clouds
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Umpnet: Universal manipulation policy network for articulated objects
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