Fetching the paper…
Reading the bibliography…
Large language models (LLMs) have demonstrated exciting progress in acquiring diverse new capabilities through in-context learning, ranging from logical reasoning to code-writing.
Translating structured english to robot controllers
H. Kress-Gazit, G. E. Fainekos, and G. J. Pappas · 2008
Earlier work this paper cites.
Mujoco: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
Earlier work this paper cites.
Learning to parse natural language commands to a robot control system
C. Matuszek, E. Herbst, L. Zettlemoyer, and D. Fox · 2013
Earlier work this paper cites.
Real-time natural language corrections for assistive robotic manipulators
A. Broad, J. Arkin, N. D. Ratliff, T. M. Howard, and B. Argall · 2017
Earlier work this paper cites.
Learning to understand goal specifications by modelling reward
D. Bahdanau, F. Hill, J. Leike, E. Hughes, A. Hosseini, P. Kohli, and E. Grefenstette · 2018
Earlier work this paper cites.
Robust recovery controller for a quadrupedal robot using deep reinforcement learning
J. Lee, J. Hwangbo, and M. Hutter · 2019
Earlier work this paper cites.
Learning navigation behaviors end-to-end with autorl
H.-T. L. Chiang, A. Faust, M. Fiser, and A. Francis · 2019
Earlier work this paper cites.
Using natural language for reward shaping in reinforcement learning
P. Goyal, S. Niekum, and R. J. Mooney · 2019
Earlier work this paper cites.
From language to goals: Inverse reinforcement learning for vision-based instruction following
J. Fu, A. Korattikara, S. Levine, and S. Guadarrama · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Relmogen: Leveraging motion generation in reinforcement learning for mobile manipulation
F. Xia, C. Li, R. Martín-Martín, O. Litany, A. Toshev, and S. Savarese · 2020
Earlier work this paper cites.
Room-across-room: Multilingual vision-and-language navigation with dense spatiotemporal grounding
A. Ku, P. Anderson, R. Patel, E. Ie, and J. Baldridge · 2020
Earlier work this paper cites.
Dreamcoder: Growing generalizable, interpretable knowledge with wake-sleep bayesian program learning
K. Ellis, C. Wong, M. Nye, M. Sable-Meyer, L. Cary, L. Morales, L. Hewitt, A. Solar-Lezama, and J. B. Tenenbaum · 2020
Earlier work this paper cites.
Learning abstract structure for drawing by efficient motor program induction
L. Tian, K. Ellis, M. Kryven, and J. Tenenbaum · 2020
Earlier work this paper cites.
Evaluating large language models trained on code
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, et al · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
Sim-to-real learning of all common bipedal gaits via periodic reward composition
J. Siekmann, Y. Godse, A. Fern, and J. Hurst · 2021
Earlier work this paper cites.
Bridge data: Boosting generalization of robotic skills with cross-domain datasets
F. Ebert, Y. Yang, K. Schmeckpeper, B. Bucher, G. Georgakis, K. Daniilidis, C. Finn, and S. Levine · 2021
Earlier work this paper cites.
Lila: Language-informed latent actions
S. Karamcheti, M. Srivastava, P. Liang, and D. Sadigh · 2021
Cited alongside, same era.
Program synthesis with large language models
J. Austin, A. Odena, M. Nye, M. Bosma, H. Michalewski, D. Dohan, E. Jiang, C. Cai, M. Terry, Q. Le, et al · 2021
Cited alongside, same era.
A large-scale benchmark for few-shot program induction and synthesis
F. Alet, J. Lopez-Contreras, J. Koppel, M. Nye, A. Solar-Lezama, T. Lozano-Perez, L. Kaelbling, and J. Tenenbaum · 2021
Cited alongside, same era.
Learning to synthesize programs as interpretable and generalizable policies
D. Trivedi, J. Zhang, S.-H. Sun, and J. J. Lim · 2021
Cited alongside, same era.
PaLM: Scaling language modeling with pathways
A. Chowdhery, S. Narang, J. Devlin, M. Bosma, G. Mishra, A. Roberts, P. Barham, H. W. Chung, C. Sutton, S. Gehrmann, et al · 2022
Cited alongside, same era.
Minedojo: Building open-ended embodied agents with internet-scale knowledge
L. Fan, G. Wang, Y. Jiang, A. Mandlekar, Y. Yang, H. Zhu, A. Tang, D.-A. Huang, Y. Zhu, and A. Anandkumar · 2022
Later among the works it cites.
Correcting robot plans with natural language feedback
P. Sharma, B. Sundaralingam, V. Blukis, C. Paxton, T. Hermans, A. Torralba, J. Andreas, and D. Fox · 2022
Later among the works it cites.
Competition-level code generation with alphacode
Y. Li, D. Choi, J. Chung, N. Kushman, J. Schrittwieser, R. Leblond, T. Eccles, J. Keeling, F. Gimeno, A. Dal Lago, et al · 2022
Later among the works it cites.
Learning language-conditioned robot behavior from offline data and crowd-sourced annotation
S. Nair, E. Mitchell, K. Chen, b. ichter, S. Savarese, and C. Finn · 2022
Later among the works it cites.
Opt-mimic: Imitation of optimized trajectories for dynamic quadruped behaviors
Y. Fuchioka, Z. Xie, and M. van de Panne · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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 · 2022
Cited alongside, same era.
Socratic models: Composing zero-shot multimodal reasoning with language
A. Zeng, A. Wong, S. Welker, K. Choromanski, F. Tombari, A. Purohit, M. Ryoo, V. Sindhwani, J. Lee, V. Vanhoucke, et al · 2022
Cited alongside, same era.
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 · 2022
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. Chi, Q. Le, and D. Zhou · 2022
Cited alongside, same era.
Large language models are zero-shot reasoners
T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa · 2022
Cited alongside, same era.
Do as i can, not as i say: Grounding language in robotic affordances
M. Ahn, A. Brohan, N. Brown, Y. Chebotar, O. Cortes, B. David, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, et al · 2022
Cited alongside, same era.
Context-aware language modeling for goal-oriented dialogue systems
C. Snell, S. Yang, J. Fu, Y. Su, and S. Levine · 2022
Cited alongside, same era.
Chatgpt for robotics: Design principles and model abilities
S. Vemprala, R. Bonatti, A. Bucker, and A. Kapoor · 2023
Closest in time.
Reward design with language models
M. Kwon, S. M. Xie, K. Bullard, and D. Sadigh · 2023
Closest in time.
Language instructed reinforcement learning for human-ai coordination
H. Hu and D. Sadigh · 2023
Closest in time.
A new path: Scaling vision-and-language navigation with synthetic instructions and imitation learning
A. Kamath, P. Anderson, S. Wang, J. Y. Koh, A. Ku, A. Waters, Y. Yang, J. Baldridge, and Z. Parekh · 2023
Closest in time.
Grounding language with visual affordances over unstructured data
O. Mees, J. Borja-Diaz, and W. Burgard · 2023
Closest in time.
“no, to the right”–online language corrections for robotic manipulation via shared autonomy
Y. Cui, S. Karamcheti, R. Palleti, N. Shivakumar, P. Liang, and D. Sadigh · 2023
Closest in time.
Large language models are built-in autoregressive search engines
N. Ziems, W. Yu, Z. Zhang, and M. Jiang · 2023
Closest in time.
Gpt-4 technical report
OpenAI · 2023
Closest in time.
Learning and adapting agile locomotion skills by transferring experience
L. Smith, J. C. Kew, T. Li, L. Luu, X. B. Peng, S. Ha, J. Tan, and S. Levine · 2023
Closest in time.
Barkour: Benchmarking animal-level agility with quadruped robots
K. Caluwaerts, A. Iscen, J. C. Kew, W. Yu, T. Zhang, D. Freeman, K.-H. Lee, L. Lee, S. Saliceti, V. Zhuang, et al · 2023
Closest in time.
F-vlm: Open-vocabulary object detection upon frozen vision and language models
W. Kuo, Y. Cui, X. Gu, A. Piergiovanni, and A. Angelova · 2023
Closest in time.
Apriltag: A robust and flexible visual fiducial system
E. Olson · 2023
Closest in time.