1. Abdo, N., Stachniss, C., Spinello, L., & Burgard, W. (2015). Robot, organize my shelves! tidying up objects by predicting user preferences. In 2015 IEEE international conference on robotics and automation (ICRA).
2. Batra, D., Chang, A. X., Chernova, S., Davison, A. J., Deng, J., Koltun, V., Levine, S., Malik, J., Mordatch, I., & Mottaghi, R., et al. (2020). Rearrangement: A challenge for embodied ai. arXiv preprint arXiv:2011.01975
3. Brohan, A., Chebotar, Y., Finn, C., Hausman, K., Herzog, A., Ho, D., Ibarz, J., Irpan, A., Jang, E., & Julian, R. (2022). Do as i can, not as i say: Grounding language in robotic affordances. In 6th annual conference on robot learning.
4. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877–1901.
5. Chen, W., Hu, S., Talak, R., & Carlone, L. (2022). Leveraging large language models for robot 3d scene understanding. arXiv preprint arXiv:2209.05629