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Humans can learn to manipulate new objects by simply watching others; providing robots with the ability to learn from such demonstrations would enable a natural interface specifying new behaviors.
Two manipulation planning algorithms
R. Alami, J.-P. Laumond, and T. Siméon · 1994
Earlier work this paper cites.
As-rigid-as-possible surface modeling
O. Sorkine and M. Alexa · 2007
Earlier work this paper cites.
An object-oriented representation for efficient reinforcement learning
C. Diuk, A. Cohen, and M. L. Littman · 2008
Earlier work this paper cites.
Articulated object tracking by rendering consistent appearance parts
Z. Pezzementi, S. Voros, and G. D. Hager · 2009
Earlier work this paper cites.
Monocular real-time 3d articulated hand pose estimation
J. Romero, H. Kjellström, and D. Kragic · 2009
Earlier work this paper cites.
Hierarchical task and motion planning in the now
L. P. Kaelbling and T. Lozano-Pérez · 2011
Earlier work this paper cites.
Rgb-d object modelling for object recognition and tracking
J. Prankl, A. Aldoma, A. Svejda, and M. Vincze · 2015
Earlier work this paper cites.
Mobility fitting using 4d ransac
H. Li, G. Wan, H. Li, A. Sharf, K. Xu, and B. Chen · 2016
Earlier work this paper cites.
One-shot imitation learning
Y. Duan, M. Andrychowicz, B. Stadie, O. Jonathan Ho, J. Schneider, I. Sutskever, P. Abbeel, and W. Zaremba · 2017
Earlier work this paper cites.
One-shot visual imitation learning via meta-learning
C. Finn, T. Yu, T. Zhang, P. Abbeel, and S. Levine · 2017
Earlier work this paper cites.
A general and adaptive robust loss function. 2019 ieee
J. T. Barron · 2017
Earlier work this paper cites.
J. Mahler, J. Liang, S. Niyaz, M. Laskey, R. Doan, X. Liu, J. A. Ojea, and K. Goldberg · 2017
Earlier work this paper cites.
Behavioral cloning from observation
F. Torabi, G. Warnell, and P. Stone · 2018
Earlier work this paper cites.
One-shot imitation from observing humans via domain-adaptive meta-learning
T. Yu, C. Finn, A. Xie, S. Dasari, T. Zhang, P. Abbeel, and S. Levine · 2018
Earlier work this paper cites.
Sfv: Reinforcement learning of physical skills from videos
X. B. Peng, A. Kanazawa, J. Malik, P. Abbeel, and S. Levine · 2018
Earlier work this paper cites.
Dense object nets: Learning dense visual object descriptors by and for robotic manipulation
P. R. Florence, L. Manuelli, and R. Tedrake · 2018
Earlier work this paper cites.
Reasoning about physical interactions with object-oriented prediction and planning
M. Janner, S. Levine, W. T. Freeman, J. B. Tenenbaum, C. Finn, and J. Wu · 2018
Earlier work this paper cites.
Data dreaming for object detection: Learning object-centric state representations for visual imitation
M. Sieb and K. Fragkiadaki · 2018
Earlier work this paper cites.
Deep object-centric representations for generalizable robot learning
C. Devin, P. Abbeel, T. Darrell, and S. Levine · 2018
Earlier work this paper cites.
Deep object pose estimation for semantic robotic grasping of household objects
J. Tremblay, T. To, B. Sundaralingam, Y. Xiang, D. Fox, and S. Birchfield · 2018
Earlier work this paper cites.
Relational deep reinforcement learning
V. Zambaldi, D. Raposo, A. Santoro, V. Bapst, Y. Li, I. Babuschkin, K. Tuyls, D. Reichert, T. Lillicrap, E. Lockhart, et al · 2018
Earlier work this paper cites.
Shape2motion: Joint analysis of motion parts and attributes from 3d shapes
X. Wang, B. Zhou, Y. Shi, X. Chen, Q. Zhao, and K. Xu · 2019
Earlier work this paper cites.
Continuous relaxation of symbolic planner for one-shot imitation learning
D.-A. Huang, D. Xu, Y. Zhu, A. Garg, S. Savarese, L. Fei-Fei, and J. C. Niebles · 2019
Earlier work this paper cites.
Factored pose estimation of articulated objects using efficient nonparametric belief propagation
K. Desingh, S. Lu, A. Opipari, and O. C. Jenkins · 2019
Earlier work this paper cites.
Characterising 3d-printed soft fin ray robotic fingers with layer jamming capability for delicate grasping
K. Elgeneidy, P. Lightbody, S. Pearson, and G. Neumann · 2019
Earlier work this paper cites.
Rpm-net: recurrent prediction of motion and parts from point cloud
Z. Yan, R. Hu, X. Yan, L. Chen, O. Van Kaick, H. Zhang, and H. Huang · 2020
Earlier work this paper cites.
Category-level articulated object pose estimation
X. Li, H. Wang, L. Yi, L. J. Guibas, A. L. Abbott, and S. Song · 2020
Earlier work this paper cites.
Articulated object tracking by high-speed monocular rgb camera
Y. Liu and A. Namiki · 2020
Earlier work this paper cites.
Learning one-shot imitation from humans without humans
A. Bonardi, S. James, and A. J. Davison · 2020
Earlier work this paper cites.
Graph-structured visual imitation
M. Sieb, Z. Xian, A. Huang, O. Kroemer, and K. Fragkiadaki · 2020
Cited alongside, same era.
Towards practical multi-object manipulation using relational reinforcement learning
R. Li, A. Jabri, T. Darrell, and P. Agrawal · 2020
Cited alongside, same era.
Guided uncertainty-aware policy optimization: Combining learning and model-based strategies for sample-efficient policy learning
M. A. Lee, C. Florensa, J. Tremblay, N. Ratliff, A. Garg, F. Ramos, and D. Fox · 2020
Cited alongside, same era.
Multimodal sensor fusion with differentiable filters
M. A. Lee, B. Yi, R. Martín-Martín, S. Savarese, and J. Bohg · 2020
Cited alongside, same era.
Object-centric task and motion planning in dynamic environments
T. Migimatsu and J. Bohg · 2020
Cited alongside, same era.
NeRF: Representing scenes as neural radiance fields for view synthesis
Decomposing nerf for editing via feature field distillation
S. Kobayashi, E. Matsumoto, and V. Sitzmann · 2022
Later among the works it cites.
3d gaussian splatting for real-time radiance field rendering
B. Kerbl, G. Kopanas, T. Leimkühler, and G. Drettakis · 2023
Later among the works it cites.
X. Liu, J. Zhang, R. Hu, H. Huang, H. Wang, and L. Yi · 2023
Later among the works it cites.
Paris: Part-level reconstruction and motion analysis for articulated objects
J. Liu, A. Mahdavi-Amiri, and M. Savva · 2023
Later among the works it cites.
Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts
H. Geng, H. Xu, C. Zhao, C. Xu, L. Yi, S. Huang, and H. Wang · 2023
Later among the works it cites.
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B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
Cited alongside, same era.
Dex-NeRF: Using a neural radiance field to grasp transparent objects
J. Ichnowski*, Y. Avigal*, J. Kerr, and K. Goldberg · 2020
Cited alongside, same era.
A method for stochastic optimization. arxiv 2014
D. P. Kingma, J. A. Ba, and J. Adam · 2020
Cited alongside, same era.
Emerging properties in self-supervised vision transformers
M. Caron, H. Touvron, I. Misra, H. Jégou, J. Mairal, P. Bojanowski, and A. Joulin · 2021
Cited alongside, same era.
Self-supervised learning of part mobility from point cloud sequence
Y. Shi, X. Cao, and B. Zhou · 2021
Cited alongside, same era.
Screwnet: Category-independent articulation model estimation from depth images using screw theory
A. Jain, R. Lioutikov, C. Chuck, and S. Niekum · 2021
Cited alongside, same era.
Learning monocular 3d reconstruction of articulated categories from motion
F. Kokkinos and I. Kokkinos · 2021
Cited alongside, same era.
Segment anything
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo, et al · 2023
Later among the works it cites.
Any-point trajectory modeling for policy learning
C. Wen, X. Lin, J. So, K. Chen, Q. Dou, Y. Gao, and P. Abbeel · 2023
Later among the works it cites.
Learning generalizable manipulation policies with object-centric 3d representations
Y. Zhu, Z. Jiang, P. Stone, and Y. Zhu · 2023
Later among the works it cites.
Learning multi-object dynamics with compositional neural radiance fields
D. Driess, Z. Huang, Y. Li, R. Tedrake, and M. Toussaint · 2023
Later among the works it cites.
Palm-e: An embodied multimodal language model
D. Driess, F. Xia, M. S. Sajjadi, C. Lynch, A. Chowdhery, B. Ichter, A. Wahid, J. Tompson, Q. Vuong, T. Yu, et al · 2023
Later among the works it cites.
Text2motion: From natural language instructions to feasible plans
K. Lin, C. Agia, T. Migimatsu, M. Pavone, and J. Bohg · 2023
Later among the works it cites.
One-shot transfer of affordance regions? affcorrs!
D. Hadjivelichkov, S. Zwane, L. Agapito, M. P. Deisenroth, and D. Kanoulas · 2023
Later among the works it cites.
Language embedded radiance fields for zero-shot task-oriented grasping
A. Rashid, S. Sharma, C. M. Kim, J. Kerr, L. Y. Chen, A. Kanazawa, and K. Goldberg · 2023
Later among the works it cites.
Distilled feature fields enable few-shot language-guided manipulation
W. Shen, G. Yang, A. Yu, J. Wong, L. P. Kaelbling, and P. Isola · 2023
Later among the works it cites.
Langsplat: 3d language gaussian splatting
M. Qin, W. Li, J. Zhou, H. Wang, and H. Pfister · 2023
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D 3 fields: Dynamic 3d descriptor fields for zero-shot generalizable robotic manipulation
Y. Wang, Z. Li, M. Zhang, K. Driggs-Campbell, J. Wu, L. Fei-Fei, and Y. Li · 2023
Later among the works it cites.
Nerfstudio: A modular framework for neural radiance field development
M. Tancik, E. Weber, E. Ng, R. Li, B. Yi, J. Kerr, T. Wang, A. Kristoffersen, J. Austin, K. Salahi, et al · 2023
Later among the works it cites.
Sparsenerf: Distilling depth ranking for few-shot novel view synthesis
Guangcong, Z. Chen, C. C. Loy, and Z. Liu · 2023
Later among the works it cites.
Curobo: Parallelized collision-free robot motion generation
B. Sundaralingam, S. K. S. Hari, A. Fishman, C. Garrett, K. Van Wyk, V. Blukis, A. Millane, H. Oleynikova, A. Handa, F. Ramos, N. Ratliff, and D. Fox · 2023
Later among the works it cites.
Foundationpose: Unified 6d pose estimation and tracking of novel objects
B. Wen, W. Yang, J. Kautz, and S. Birchfield · 2023
Later among the works it cites.
Garfield: Group anything with radiance fields
C. M. Kim, M. Wu, J. Kerr, M. Tancik, K. Goldberg, and A. Kanazawa · 2024
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Banana: Banach fixed-point network for pointcloud segmentation with inter-part equivariance
C. Deng, J. Lei, W. B. Shen, K. Daniilidis, and L. J. Guibas · 2024
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Real2code: Reconstruct articulated objects via code generation, 2024
Z. Mandi, Y. Weng, D. Bauer, and S. Song · 2024
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Composable part-based manipulation
W. Liu, J. Mao, J. Hsu, T. Hermans, A. Garg, and J. Wu · 2024
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Gaussiangrasper: 3d language gaussian splatting for open-vocabulary robotic grasping
Y. Zheng, X. Chen, Y. Zheng, S. Gu, R. Yang, B. Jin, P. Li, C. Zhong, Z. Wang, L. Liu, et al · 2024
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