[iBC+23] brian richter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander T Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Liu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, and Chuyuan Kelly Fu. Do as i can, not as i say: Grounding language in robotic affordances. In Karen Liu, Dana Kulic, and Jeff Ichnowski, editors, Proceedings of The 6th Conference on Robot Learning, volume 205 of Proceedings of Machine Learning Research, pages 287-318. PMLR, 14-18 Dec 2023.
[IO22] Yuki Inoue and Hiroki Ohashi. Prompter: Utilizing large language model prompting for a data efficient embodied instruction following. arXiv preprint arXiv:2211.03267, 2022.
[  $\mathrm{JLZ^{+}22}$  Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, and Gaurav S. Sukhatme. Learning to act with affordance-aware multimodal neural SLAM. In International Conference on Learning Representations, 2022.
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[KMG+17] Eric Kolve, Roozbeh Mottaghi, Daniel Gordon, Yuke Zhu, Abhinav Gupta, and Ali Farhadi. AI2-THOR: an interactive 3d environment for visual AI. CoRR, abs/1712.05474, 2017.
[KSV+22] Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, and Lin Guan. Symbols as a lingua franca for bridging human-ai chasm for explainable and advisable ai systems. In Proceedings of the AAAI Conference on Artificial Intelligence, pages 12262–12267, 2022.
$\left[\mathrm{LCQ}^{+}18\right]$  Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, and Pheng-Ann Heng. H-denseunet: Hybrid densely connected unet for liver and tumor segmentation from CT volumes. IEEE Trans. Medical Imaging, 37(12):2663-2674, 2018.
$\left[\mathrm{LSS}^{+}22\right]$  Leonardo Lamanna, Luciano Serafini, Alessandro Saetti, Alfonso Gerevini, and Paolo Traverso. Online Grounding of Symbolic Planning Domains in Unknown Environments. In Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, pages 511-521, 8 2022.
[MBM14] Christian J. Muise, Vaishak Belle, and Sheila A. McIlraith. Computing contingent plans via fully observable non-deterministic planning. In AAAI, pages 2322-2329. AAAI Press, 2014.
$\left[\mathrm{MBP}^{+}21\right]$  Shervin Minae, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, and Demetri Terzopoulos. Image segmentation using deep learning: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
[MC22] Michael Murray and Maya Cakmak. Following natural language instructions for household tasks with landmark guided search and reinforced pose adjustment. IEEE Robotics Autom. Lett., 7(3):6870-6877, 2022.
$\left[\mathrm{MCR}^{+}22\right]$  So Yeon Min, Devendra Singh Chaplot, Pradeep Kumar Ravikumar, Yonatan Bisk, and Ruslan Salakhutdinov. FILM: following instructions in language with modular methods. In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022. OpenReview.net, 2022.
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