Fetching the paper…
Reading the bibliography…
As robotic technology rapidly develops, robots are being employed in an increasing number of fields.
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
J. Xu, X. Liu, J. Yan, D. Cai, H. Li, and J. Li, “Learning to break the loop: Analyzing and mitigating repetitions for neural text generation,” Advances in Neural Information Processing Systems , vol. 35, pp. 3082–3095, 2022
2022
Earlier work this paper cites.
2023
Earlier work this paper cites.
H.-S. Fang, C. Wang, H. Fang, M. Gou, J. Liu, H. Yan, W. Liu, Y. Xie, and C. Lu, “Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,” IEEE Transactions on Robotics , 2023
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
A. Chowdhery, S. Narang, J. Devlin, M. Bosma, G. Mishra, A. Roberts, P. Barham, H. W. Chung, C. Sutton, S. Gehrmann, et al. , “Palm: Scaling language modeling with pathways,” Journal of Machine Learning Research , vol. 24, no. 240, pp. 1–113, 2023
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
K. Lin, C. Agia, T. Migimatsu, M. Pavone, and J. Bohg, “Text2motion: From natural language instructions to feasible plans,” Autonomous Robots , vol. 47, no. 8, pp. 1345–1365, 2023
2023
Cited alongside, same era.
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 2023 IEEE International Conference on Robotics and Automation (ICRA) . 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 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 9493–9500
2023
Cited alongside, same era.
2024
Later among the works it cites.
I. Y. Guan, G. Zhang, X. Liu, E. Zhao, and J. Wu, “Atom: Leveraging large language models for adaptive task object motion strategies in object rearrangement for service robotics,” in 2024 10th International Conference on Electrical Engineering, Control and Robotics (EECR) . IEEE, 2024, pp. 8–13
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2023
Cited alongside, same era.
N. Shinn, B. Labash, and A. Gopinath, “Reflexion: an autonomous agent with dynamic memory and self-reflection. arxiv (2023) doi: 10.48550,” arXiv preprint arxiv.2303.11366 , 2023
2023
Cited alongside, same era.
2023
Cited alongside, same era.
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo, et al. , “Segment anything,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023, pp. 4015–4026
2023
Cited alongside, same era.
2023
Cited alongside, same era.
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
L. Zheng, W.-L. Chiang, Y. Sheng, S. Zhuang, Z. Wu, Y. Zhuang, Z. Lin, Z. Li, D. Li, E. Xing, et al. , “Judging llm-as-a-judge with mt-bench and chatbot arena,” Advances in Neural Information Processing Systems , vol. 36, 2024
2024
Later among the works it cites.