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Every home is different, and every person likes things done in their particular way.
Real-time tracking and pose estimation for industrial objects using geometric features
Y. Yoon, G. N. DeSouza, and A. C. Kak · 2003
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Artag, a fiducial marker system using digital techniques
M. Fiala · 2005
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Single image 3d object detection and pose estimation for grasping
M. Zhu, K. G. Derpanis, Y. Yang, S. Brahmbhatt, M. Zhang, C. Phillips, M. Lecce, and K. Daniilidis · 2014
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Modular multitask reinforcement learning with policy sketches
J. Andreas, D. Klein, and S. Levine · 2017
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Beating atari with natural language guided reinforcement learning
R. Kaplan, C. Sauer, and A. Sosa · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
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Intel realsense stereoscopic depth cameras
L. Keselman, J. Iselin Woodfill, A. Grunnet-Jepsen, and A. Bhowmik · 2017
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Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
A. Zeng, K.-T. Yu, S. Song, D. Suo, E. Walker, A. Rodriguez, and J. Xiao · 2017
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Deep reinforcement learning from human preferences
P. F. Christiano, J. Leike, T. Brown, M. Martic, S. Legg, and D. Amodei · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation (2018)
D. Kalashnikov, A. Irpan, P. Pastor, J. Ibarz, A. Herzog, E. Jang, D. Quillen, E. Holly, M. Kalakrishnan, V. Vanhoucke, et al · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
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Open3d: A modern library for 3d data processing
Q.-Y. Zhou, J. Park, and V. Koltun · 2018
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On evaluation of embodied navigation agents
P. Anderson, A. Chang, D. S. Chaplot, A. Dosovitskiy, S. Gupta, V. Koltun, J. Kosecka, J. Malik, R. Mottaghi, M. Savva, et al · 2018
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What should i do now? marrying reinforcement learning and symbolic planning
D. Gordon, D. Fox, and A. Farhadi · 2019
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The Replica dataset: A digital replica of indoor spaces
J. Straub, T. Whelan, L. Ma, Y. Chen, E. Wijmans, S. Green, J. J. Engel, R. Mur-Artal, C. Ren, S. Verma, A. Clarkson, M. Yan, B. Budge, Y. Yan, X. Pan, J. Yon, Y. Zou, K. Leon, N. Carter, J. Briales, T. Gillingham, E. Mueggler, L. Pesqueira, M. Savva, D. Batra, H. M. Strasdat, R. D. Nardi, M. Goesele, S. Lovegrove, and R. Newcombe · 2019
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Normalized object coordinate space for category-level 6d object pose and size estimation
H. Wang, S. Sridhar, J. Huang, J. Valentin, S. Song, and L. J. Guibas · 2019
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Representing robot task plans as robust logical-dynamical systems
C. Paxton, N. Ratliff, C. Eppner, and D. Fox · 2019
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Self-supervised correspondence in visuomot or policy learning
P. Florence, L. Manuelli, and R. Tedrake · 2019
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Mass: Masked sequence to sequence pre-training for language generation
K. Song, X. Tan, T. Qin, J. Lu, and T.-Y. Liu · 2019
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Sim2real predictivity: Does evaluation in simulation predict real-world performance?
A. Kadian, J. Truong, A. Gokaslan, A. Clegg, E. Wijmans, S. Lee, M. Savva, S. Chernova, and D. Batra · 2020
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Learning navigation skills for legged robots with learned robot embeddings
J. Truong, D. Yarats, T. Li, F. Meier, S. Chernova, D. Batra, and A. Rai · 2020
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Deep dynamics models for learning dexterous manipulation
A. Nagabandi, K. Konolige, S. Levine, and V. Kumar · 2020
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Controlling contact-rich manipulation under partial observability
F. Wirnshofer, P. S. Schmitt, G. von Wichert, and W. Burgard · 2020
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Keto: Learning keypoint representations for tool manipulation
Z. Qin, K. Fang, Y. Zhu, L. Fei-Fei, and S. Savarese · 2020
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A long horizon planning framework for manipulating rigid pointcloud objects
A. Simeonov, Y. Du, B. Kim, F. R. Hogan, J. Tenenbaum, P. Agrawal, and A. Rodriguez · 2020
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Plan2vec: Unsupervised representation learning by latent plans
G. Yang, A. Zhang, A. Morcos, J. Pineau, P. Abbeel, and R. Calandra · 2020
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Accelerating reinforcement learning with learned skill priors
K. Pertsch, Y. Lee, and J. J. Lim · 2020
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Differentiable spatial planning using transformers
D. S. Chaplot, D. Pathak, and J. Malik · 2021
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Habitat 2.0: Training home assistants to rearrange their habitat
A. Szot, A. Clegg, E. Undersander, E. Wijmans, Y. Zhao, J. Turner, N. Maestre, M. Mukadam, D. Chaplot, O. Maksymets, A. Gokaslan, V. Vondrus, S. Dharur, F. Meier, W. Galuba, A. Chang, Z. Kira, V. Koltun, J. Malik, M. Savva, and D. Batra · 2021
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Stable-baselines3: Reliable reinforcement learning implementations
A. Raffin, A. Hill, A. Gleave, A. Kanervisto, M. Ernestus, and N. Dormann · 2021
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Polymetis
Y. Lin, A. S. Wang, G. Sutanto, A. Rai, and F. Meier · 2021
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Learning embeddings that capture spatial semantics for indoor navigation
V. Jain, P. Agarwal, S. Patil, and K. Sycara · 2021
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A. Singh, H. Liu, G. Zhou, A. Yu, N. Rhinehart, and S. Levine · 2020
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D. Driess, J.-S. Ha, and M. Toussaint · 2020
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Fast online adaptation in robotics through meta-learning embeddings of simulated priors
R. Kaushik, T. Anne, and J.-B. Mouret · 2020
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Language models are few-shot learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al · 2020
Cited alongside, same era.
Nerf: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
Cited alongside, same era.
Object-centric learning with slot attention
F. Locatello, D. Weissenborn, T. Unterthiner, A. Mahendran, G. Heigold, J. Uszkoreit, A. Dosovitskiy, and T. Kipf · 2020
Cited alongside, same era.
Integrated task and motion planning
C. R. Garrett, R. Chitnis, R. Holladay, B. Kim, T. Silver, L. P. Kaelbling, and T. Lozano-Pérez · 2020
Cited alongside, same era.
W. Yuan, C. Paxton, K. Desingh, and D. Fox · 2021
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Structformer: Learning spatial structure for language-guided semantic rearrangement of novel objects
W. Liu, C. Paxton, T. Hermans, and D. Fox · 2021
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Decision transformer: Reinforcement learning via sequence modeling
L. Chen, K. Lu, A. Rajeswaran, K. Lee, A. Grover, M. Laskin, P. Abbeel, A. Srinivas, and I. Mordatch · 2021
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Offline reinforcement learning as one big sequence modeling problem
M. Janner, Q. Li, and S. Levine · 2021
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B-pref: Benchmarking preference-based reinforcement learning
K. Lee, L. Smith, A. Dragan, and P. Abbeel · 2021
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Zero-shot text-to-image generation
A. Ramesh, M. Pavlov, G. Goh, S. Gray, C. Voss, A. Radford, M. Chen, and I. Sutskever · 2021
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P. Liu, W. Yuan, J. Fu, Z. Jiang, H. Hayashi, and G. Neubig · 2021
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Inventing relational state and action abstractions for effective and efficient bilevel planning
T. Silver, R. Chitnis, N. Kumar, W. McClinton, T. Lozano-Perez, L. P. Kaelbling, and J. Tenenbaum · 2022
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Efficient and interpretable robot manipulation with graph neural networks
Y. Lin, A. S. Wang, E. Undersander, and A. Rai · 2022
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My house, my rules: Learning tidying preferences with graph neural networks
I. Kapelyukh and E. Johns · 2022
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Masked autoencoders are scalable vision learners
K. He, X. Chen, S. Xie, Y. Li, P. Dollár, and R. Girshick · 2022
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Plate: Visually-grounded planning with transformers in procedural tasks
J. Sun, D.-A. Huang, B. Lu, Y.-H. Liu, B. Zhou, and A. Garg · 2022
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Pretraining for language conditioned imitation with transformers, 2022
A. L. Putterman, K. Lu, I. Mordatch, and P. Abbeel · 2022
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Prompting decision transformer for few-shot policy generalization
M. Xu, Y. Shen, S. Zhang, Y. Lu, D. Zhao, B. J. Tenenbaum, and C. Gan · 2022
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Skill preferences: Learning to extract and execute robotic skills from human feedback
X. Wang, K. Lee, K. Hakhamaneshi, P. Abbeel, and M. Laskin · 2022
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Reward uncertainty for exploration in preference-based reinforcement learning
X. Liang, K. Shu, K. Lee, and P. Abbeel · 2022
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Models of human preference for learning reward functions
W. B. Knox, S. Hatgis-Kessell, S. Booth, S. Niekum, P. Stone, and A. Allievi · 2022
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Adaprompt: Adaptive model training for prompt-based nlp
Y. Chen, Y. Liu, L. Dong, S. Wang, C. Zhu, M. Zeng, and Y. Zhang · 2022
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