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Scene representation is a crucial design choice in robotic manipulation systems.
Information theoretic mpc for model-based reinforcement learning
G. Williams, N. Wagener, B. Goldfain, P. Drews, J. M. Rehg, B. Boots, and E. A. Theodorou · 2017
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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
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Dense object nets: Learning dense visual object descriptors by and for robotic manipulation
P. R. Florence, L. Manuelli, and R. Tedrake · 2018
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Learning latent dynamics for planning from pixels
D. Hafner, T. Lillicrap, I. Fischer, R. Villegas, D. Ha, H. Lee, and J. Davidson · 2019
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Unsupervised learning of object structure and dynamics from videos
M. Minderer, C. Sun, R. Villegas, F. Cole, K. P. Murphy, and H. Lee · 2019
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Learning particle dynamics for manipulating rigid bodies, deformable objects, and fluids
Y. Li, J. Wu, R. Tedrake, J. B. Tenenbaum, and A. Torralba · 2019
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Keypoints into the future: Self-supervised correspondence in model-based reinforcement learning
L. Manuelli, Y. Li, P. Florence, and R. Tedrake · 2020
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Visual grounding of learned physical models
Y. Li, T. Lin, K. Yi, D. Bear, D. L. Yamins, J. Wu, J. B. Tenenbaum, and A. Torralba · 2020
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3d neural scene representations for visuomotor control
Y. Li, S. Li, V. Sitzmann, P. Agrawal, and A. Torralba · 2021
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Learning predictive representations for deformable objects using contrastive estimation
W. Yan, A. Vangipuram, P. Abbeel, and L. Pinto · 2021
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Rgb-d local implicit function for depth completion of transparent objects
L. Zhu, A. Mousavian, Y. Xiang, H. Mazhar, J. van Eenbergen, S. Debnath, and D. Fox · 2021
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Dex-nerf: Using a neural radiance field to grasp transparent objects
J. Ichnowski, Y. Avigal, J. Kerr, and K. Goldberg · 2021
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Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Z. Jiang, Y. Zhu, M. Svetlik, K. Fang, and Y. Zhu · 2021
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Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, G. Krueger, and I. Sutskever · 2021
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Emerging properties in self-supervised vision transformers
M. Caron, H. Touvron, I. Misra, H. Jégou, J. Mairal, P. Bojanowski, and A. Joulin · 2021
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Robocraft: Learning to see, simulate, and shape elasto-plastic objects with graph networks
H. Shi, H. Xu, Z. Huang, Y. Li, and J. Wu · 2022
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6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark
S. Tyree, J. Tremblay, T. To, J. Cheng, T. Mosier, J. Smith, and S. Birchfield · 2022
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XMem: Long-term video object segmentation with an atkinson-shiffrin memory model
H. K. Cheng and A. G. Schwing · 2022
Cited alongside, same era.
Neural descriptor fields: Se (3)-equivariant object representations for manipulation
A. Simeonov, Y. Du, A. Tagliasacchi, J. B. Tenenbaum, A. Rodriguez, P. Agrawal, and V. Sitzmann · 2022
Cited alongside, same era.
Learning models as functionals of signed-distance fields for manipulation planning
D. Driess, J.-S. Ha, M. Toussaint, and R. Tedrake · 2022
Cited alongside, same era.
Reinforcement learning with neural radiance fields
D. Driess, I. Schubert, P. Florence, Y. Li, and M. Toussaint · 2022
Cited alongside, same era.
NeRF-Supervision: Learning dense object descriptors from neural radiance fields
L. Yen-Chen, P. Florence, J. T. Barron, T.-Y. Lin, A. Rodriguez, and P. Isola · 2022
Cited alongside, same era.
Virdo: Visio-tactile implicit representations of deformable objects
Do as i can, not as i say: Grounding language in robotic affordances
A. Brohan, Y. Chebotar, C. Finn, K. Hausman, A. Herzog, D. Ho, J. Ibarz, A. Irpan, E. Jang, R. Julian, et al · 2023
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Inner monologue: Embodied reasoning through planning with language models
W. Huang, F. Xia, T. Xiao, H. Chan, J. Liang, P. Florence, A. Zeng, J. Tompson, I. Mordatch, Y. Chebotar, et al · 2023
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Code as policies: Language model programs for embodied control
J. Liang, W. Huang, F. Xia, P. Xu, K. Hausman, B. Ichter, P. Florence, and A. Zeng · 2023
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Voxposer: Composable 3d value maps for robotic manipulation with language models
W. Huang, C. Wang, R. Zhang, Y. Li, J. Wu, and L. Fei-Fei · 2023
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Learning generalizable manipulation policies with object-centric 3d representations
Y. Zhu, Z. Jiang, P. Stone, and Y. Zhu · 2023
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Act3d: 3d feature field transformers for multi-task robotic manipulation
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Y. Wi, P. Florence, A. Zeng, and N. Fazeli · 2022
Cited alongside, same era.
BEHAVIOR-1k: A benchmark for embodied AI with 1,000 everyday activities and realistic simulation
C. Li, R. Zhang, J. Wong, C. Gokmen, S. Srivastava, R. Martín-Martín, C. Wang, G. Levine, M. Lingelbach, J. Sun, M. Anvari, M. Hwang, M. Sharma, A. Aydin, D. Bansal, S. Hunter, K.-Y. Kim, A. Lou, C. R. Matthews, I. Villa-Renteria, J. H. Tang, C. Tang, F. Xia, S. Savarese, H. Gweon, K. Liu, J. Wu, and L. Fei-Fei · 2022
Cited alongside, same era.
Visual reinforcement learning with self-supervised 3d representations
Y. Ze, N. Hansen, Y. Chen, M. Jain, and X. Wang · 2023
Cited alongside, same era.
Dynamic-Resolution Model Learning for Object Pile Manipulation
Y. Wang, Y. Li, K. Driggs-Campbell, L. Fei-Fei, and J. Wu · 2023
Cited alongside, same era.
ConceptFusion: Open-set multimodal 3D mapping
K. M. Jatavallabhula, A. Kuwajerwala, Q. Gu, M. Omama, G. Iyer, S. Saryazdi, T. Chen, A. Maalouf, S. Li, N. V. Keetha, A. Tewari, J. Tenenbaum, C. de Melo, M. Krishna, L. Paull, F. Shkurti, and A. Torralba · 2023
Cited alongside, same era.
Feature-realistic neural fusion for real-time, open set scene understanding
K. Mazur, E. Sucar, and A. J. Davison · 2023
Cited alongside, same era.
Structdiffusion: Language-guided creation of physically-valid structures using unseen objects
W. Liu, Y. Du, T. Hermans, S. Chernova, and C. Paxton · 2023
Cited alongside, same era.
T. Gervet, Z. Xian, N. Gkanatsios, and K. Fragkiadaki · 2023
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Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation
Z. Xian, N. Gkanatsios, T. Gervet, T.-W. Ke, and K. Fragkiadaki · 2023
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Neural grasp distance fields for robot manipulation
T. Weng, D. Held, F. Meier, and M. Mukadam · 2023
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SNeRL: Semantic-aware neural radiance fields for reinforcement learning
D. Shim, S. Lee, and H. J. Kim · 2023
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RGB-only reconstruction of tabletop scenes for collision-free manipulator control
Z. Tang, B. Sundaralingam, J. Tremblay, B. Wen, Y. Yuan, S. Tyree, C. Loop, A. Schwing, and S. Birchfield · 2023
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Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis
A. Zhou, M. J. Kim, L. Wang, P. Florence, and C. Finn · 2023
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CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
N. M. (Mahi)Shafiullah, C. Paxton, L. Pinto, S. Chintala, and A. Szlam · 2023
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Lerf: Language embedded radiance fields
J. Kerr, C. M. Kim, K. Goldberg, A. Kanazawa, and M. Tancik · 2023
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Language embedded radiance fields for zero-shot task-oriented grasping
S. Sharma, A. Rashid, C. M. Kim, J. Kerr, L. Y. Chen, A. Kanazawa, and K. Goldberg · 2023
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Multi-task real robot learning with generalizable neural feature fields
Y. Ze, G. Yan, Y.-H. Wu, A. Macaluso, Y. Ge, J. Ye, N. Hansen, L. E. Li, and X. Wang · 2023
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3d diffuser actor: Policy diffusion with 3d scene representations
T.-W. Ke, N. Gkanatsios, and K. Fragkiadaki · 2024
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