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For 3D object manipulation, methods that build an explicit 3D representation perform better than those relying only on camera images.
A single-query bi-directional probabilistic roadmap planner with lazy collision checking
G. Sánchez and J.-C. Latombe · 2001
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Robotic grasping of novel objects
A. Saxena, J. Driemeyer, J. Kearns, and A. Ng · 2006
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The open motion planning library
I. A. Sucan, M. Moll, and L. E. Kavraki · 2012
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V-rep: A versatile and scalable robot simulation framework
E. Rohmer, S. P. Singh, and M. Freese · 2013
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Multi-task policy search for robotics
M. P. Deisenroth, P. Englert, J. Peters, and D. Fox · 2014
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Embed to control: A locally linear latent dynamics model for control from raw images
M. Watter, J. Springenberg, J. Boedecker, and M. Riedmiller · 2015
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Deep learning for detecting robotic grasps
I. Lenz, H. Lee, and A. Saxena · 2015
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Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 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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Learning modular neural network policies for multi-task and multi-robot transfer
C. Devin, A. Gupta, T. Darrell, P. Abbeel, and S. Levine · 2017
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Distral: Robust multitask reinforcement learning
Y. Teh, V. Bapst, W. M. Czarnecki, J. Quan, J. Kirkpatrick, R. Hadsell, N. Heess, and R. Pascanu · 2017
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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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Learning agile and dynamic motor skills for legged robots
J. Hwangbo, J. Lee, A. Dosovitskiy, D. Bellicoso, V. Tsounis, V. Koltun, and M. Hutter · 2019
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Learning to fly: computational controller design for hybrid uavs with reinforcement learning
J. Xu, T. Du, M. Foshey, B. Li, B. Zhu, A. Schulz, and W. Matusik · 2019
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Dream to control: Learning behaviors by latent imagination
D. Hafner, T. Lillicrap, J. Ba, and M. Norouzi · 2019
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Large batch optimization for deep learning: Training bert in 76 minutes
Y. You, J. Li, S. Reddi, J. Hseu, S. Kumar, S. Bhojanapalli, X. Song, J. Demmel, K. Keutzer, and C.-J. Hsieh · 2019
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Rlbench: The robot learning benchmark & learning environment
S. James, Z. Ma, D. R. Arrojo, and A. J. Davison · 2020
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Learning dexterous in-hand manipulation
O. M. Andrychowicz, B. Baker, M. Chociej, R. Jozefowicz, B. McGrew, J. Pachocki, A. Petron, M. Plappert, G. Powell, A. Ray, et al · 2020
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Packit: A virtual environment for geometric planning
A. Goyal and J. Deng · 2020
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Rel3d: A minimally contrastive benchmark for grounding spatial relations in 3d
A. Goyal, K. Yang, D. Yang, and J. Deng · 2020
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Language conditioned imitation learning over unstructured data
C. Lynch and P. Sermanet · 2020
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Transformer-based meta-imitation learning for robotic manipulation
T. Cachet, J. Perez, and S. Kim · 2020
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Accelerating 3d deep learning with pytorch3d
N. Ravi, J. Reizenstein, D. Novotny, T. Gordon, W.-Y. Lo, J. Johnson, and G. Gkioxari · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al · 2020
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A modular robotic arm control stack for research: Franka-Interface and FrankaPy
K. Zhang, M. Sharma, J. Liang, and O. Kroemer · 2020
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BC-z: Zero-shot task generalization with robotic imitation learning
E. Jang, A. Irpan, M. Khansari, D. Kappler, F. Ebert, C. Lynch, S. Levine, and C. Finn · 2021
Transformers for one-shot visual imitation
S. Dasari and A. Gupta · 2021
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Revisiting point cloud shape classification with a simple and effective baseline
A. Goyal, H. Law, B. Liu, A. Newell, and J. Deng · 2021
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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 · 2021
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Coarse-to-fine imitation learning: Robot manipulation from a single demonstration
E. Johns · 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, et al · 2021
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Ifor: Iterative flow minimization for robotic object rearrangement
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Cited alongside, same era.
Cliport: What and where pathways for robotic manipulation
M. Shridhar, L. Manuelli, and D. Fox · 2021
Cited alongside, same era.
Transporter networks: Rearranging the visual world for robotic manipulation
A. Zeng, P. Florence, J. Tompson, S. Welker, J. Chien, M. Attarian, T. Armstrong, I. Krasin, D. Duong, V. Sindhwani, et al · 2021
Cited alongside, same era.
Perceiver: General perception with iterative attention
A. Jaegle, F. Gimeno, A. Brock, O. Vinyals, A. Zisserman, and J. Carreira · 2021
Cited alongside, same era.
Rma: Rapid motor adaptation for legged robots
A. Kumar, Z. Fu, D. Pathak, and J. Malik · 2021
Cited alongside, same era.
Ving: Learning open-world navigation with visual goals
D. Shah, B. Eysenbach, G. Kahn, N. Rhinehart, and S. Levine · 2021
Cited alongside, same era.
Learning vision-guided quadrupedal locomotion end-to-end with cross-modal transformers
R. Yang, M. Zhang, N. Hansen, H. Xu, and X. Wang · 2021
Cited alongside, same era.
Generalization in dexterous manipulation via geometry-aware multi-task learning
W. Huang, I. Mordatch, P. Abbeel, and D. Pathak · 2021
Cited alongside, same era.
A. Goyal, A. Mousavian, C. Paxton, Y.-W. Chao, B. Okorn, J. Deng, and D. Fox · 2022
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Coarse-to-fine q-attention: Efficient learning for visual robotic manipulation via discretisation
S. James, K. Wada, T. Laidlow, and A. J. Davison · 2022
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Perceiver-Actor: A multi-task transformer for robotic manipulation
M. Shridhar, L. Manuelli, and D. Fox · 2022
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Offline reinforcement learning for visual navigation
D. Shah, A. Bhorkar, H. Leen, I. Kostrikov, N. Rhinehart, and S. Levine · 2022
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Mastering visual continuous control: Improved data-augmented reinforcement learning
D. Yarats, R. Fergus, A. Lazaric, and L. Pinto · 2022
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Rt-1: Robotics transformer for real-world control at scale
A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, J. Dabis, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, J. Hsu, J. Ibarz, B. Ichter, A. Irpan, T. Jackson, S. Jesmonth, N. Joshi, R. Julian, D. Kalashnikov, Y. Kuang, I. Leal, K.-H. Lee, S. Levine, Y. Lu, U. Malla, D. Manjunath, I. Mordatch, O. Nachum, C. Parada, J. Peralta, E. Perez, K. Pertsch, J. Quiambao, K. Rao, M. Ryoo, G. Salazar, P. Sanketi, K. Sayed, J. Singh, S. Sontakke, A. Stone, C. Tan, H. Tran, V. Vanhoucke, S. Vega, Q. Vuong, F. Xia, T. Xiao, P. Xu, S. Xu, T. Yu, and B. Zitkovich · 2022
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Do as i can and not as i say: Grounding language in robotic affordances
M. Ahn, A. Brohan, N. Brown, Y. Chebotar, O. Cortes, B. David, C. Finn, C. Fu, K. Gopalakrishnan, K. Hausman, A. Herzog, D. Ho, J. Hsu, J. Ibarz, B. Ichter, A. Irpan, E. Jang, R. J. Ruano, K. Jeffrey, S. Jesmonth, N. Joshi, R. Julian, D. Kalashnikov, Y. Kuang, K.-H. Lee, S. Levine, Y. Lu, L. Luu, C. Parada, P. Pastor, J. Quiambao, K. Rao, J. Rettinghouse, D. Reyes, P. Sermanet, N. Sievers, C. Tan, A. Toshev, V. Vanhoucke, F. Xia, T. Xiao, P. Xu, S. Xu, M. Yan, and A. Zeng · 2022
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What matters in language conditioned robotic imitation learning over unstructured data
O. Mees, L. Hermann, and W. Burgard · 2022
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Learning language-conditioned robot behavior from offline data and crowd-sourced annotation
S. Nair, E. Mitchell, K. Chen, S. Savarese, C. Finn, et al · 2022
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S. Reed, K. Zolna, E. Parisotto, S. G. Colmenarejo, A. Novikov, G. Barth-Maron, M. Gimenez, Y. Sulsky, J. Kay, J. T. Springenberg, et al · 2022
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Progprompt: Generating situated robot task plans using large language models
I. Singh, V. Blukis, A. Mousavian, A. Goyal, D. Xu, J. Tremblay, D. Fox, J. Thomason, and A. Garg · 2022
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Look closer: Bridging egocentric and third-person views with transformers for robotic manipulation
R. Jangir, N. Hansen, S. Ghosal, M. Jain, and X. Wang · 2022
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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 · 2022
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Multi-view transformer for 3d visual grounding
S. Huang, Y. Chen, J. Jia, and L. Wang · 2022
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Mira: Mental imagery for robotic affordances
Y.-C. Lin, P. Florence, A. Zeng, J. T. Barron, Y. Du, W.-C. Ma, A. Simeonov, A. R. Garcia, and P. Isola · 2023
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