HiCRISP: An LLM-based Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner

X. Puig, K. Ra, M. Boben, J. Li, T. Wang, S. Fidler, and A. Torralba, “Virtualhome: Simulating household activities via programs,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018, pp. 8494–8502

2018

Earlier work this paper cites.

P. A. Jansen, “Visually-grounded planning without vision: Language models infer detailed plans from high-level instructions,” arXiv preprint arXiv:2009.14259 , 2020

Original

2020

Earlier work this paper cites.

R. Patel and E. Pavlick, “Mapping language models to grounded conceptual spaces,” in International Conference on Learning Representations , 2021

2021

Earlier work this paper cites.

L. Shao, T. Migimatsu, Q. Zhang, K. Yang, and J. Bohg, “Concept2robot: Learning manipulation concepts from instructions and human demonstrations,” The International Journal of Robotics Research , vol. 40, no. 12-14, pp. 1419–1434, 2021

2021

Earlier work this paper cites.

X. Ding, H. Wang, H. Li, H. Jiang, and J. He, “Robopheus: A virtual-physical interactive mobile robotic testbed,” arXiv preprint arXiv:2103.04391 , 2021

Original

2021

Earlier work this paper cites.

S. Li, X. Puig, C. Paxton, Y. Du, C. Wang, L. Fan, T. Chen, D.-A. Huang, E. Akyürek, A. Anandkumar, et al. , “Pre-trained language models for interactive decision-making,” Advances in Neural Information Processing Systems , vol. 35, pp. 31 199–31 212, 2022

2022

Earlier work this paper cites.

T. Xiao, H. Chan, P. Sermanet, A. Wahid, A. Brohan, K. Hausman, S. Levine, and J. Tompson, “Robotic skill acquisition via instruction augmentation with vision-language models,” in Workshop on Language and Robotics at CoRL , 2022

2022

Earlier work this paper cites.

W. Huang, P. Abbeel, D. Pathak, and I. Mordatch, “Language models as zero-shot planners: Extracting actionable knowledge for embodied agents,” in International Conference on Machine Learning . PMLR, 2022, pp. 9118–9147

2022

Earlier work this paper cites.

W. Huang, F. Xia, T. Xiao, H. Chan, J. Liang, P. Florence, A. Zeng, J. Tompson, I. Mordatch, Y. Chebotar, et al. , “Inner monologue: Embodied reasoning through planning with language models,” in 6th Annual Conference on Robot Learning , 2022

2022

Earlier work this paper cites.

S. S. Raman, V. Cohen, E. Rosen, I. Idrees, D. Paulius, and S. Tellex, “Planning with large language models via corrective re-prompting,” arXiv preprint arXiv:2211.09935 , 2022

Original

2022

Earlier work this paper cites.

I. Singh, V. Blukis, A. Mousavian, A. Goyal, D. Xu, J. Tremblay, D. Fox, J. Thomason, and A. Garg, “Progprompt: Generating situated robot task plans using large language models,” in International Conference on Robotics and Automation . IEEE, 2023, pp. 11 523–11 530

2023

Cited alongside, same era.

J. Liang, W. Huang, F. Xia, P. Xu, K. Hausman, B. Ichter, P. Florence, and A. Zeng, “Code as policies: Language model programs for embodied control,” in International Conference on Robotics and Automation . IEEE, 2023, pp. 9493–9500

2023

Cited alongside, same era.

A. Brohan, Y. Chebotar, C. Finn, K. Hausman, A. Herzog, D. Ho, J. Ibarz, A. Irpan, E. Jang, R. Julian, et al. , “Do As I Can, Not As I Say: Grounding Language in Robotic Affordances,” in Conference on Robot Learning . PMLR, 2023, pp. 287–318

2023

Cited alongside, same era.

J. Achiam, S. Adler, S. Agarwal, L. Ahmad, I. Akkaya, F. L. Aleman, D. Almeida, J. Altenschmidt, S. Altman, S. Anadkat, et al. , “GPT-4 technical report,” arXiv preprint arXiv:2303.08774 , 2023

Original

B. Zitkovich, T. Yu, S. Xu, P. Xu, T. Xiao, F. Xia, J. Wu, P. Wohlhart, S. Welker, A. Wahid, et al. , “Rt-2: Vision-language-action models transfer web knowledge to robotic control,” in 7th Annual Conference on Robot Learning , 2023

2023

Closest in time.

K. Lin, C. Agia, T. Migimatsu, M. Pavone, and J. Bohg, “Text2motion: From natural language instructions to feasible plans,” in ICRA Workshop on Pretraining for Robotics (PT4R) , 2023

2023

Closest in time.

Z. Mandi, S. Jain, and S. Song, “Roco: Dialectic multi-robot collaboration with large language models,” arXiv preprint arXiv:2307.04738 , 2023

Original

2023

Closest in time.

C. Lynch, A. Wahid, J. Tompson, T. Ding, J. Betker, R. Baruch, T. Armstrong, and P. Florence, “Interactive language: Talking to robots in real time,” IEEE Robotics and Automation Letters , 2023

2023

Closest in time.