SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments

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M. F. Ginting, S.-K. Kim, O. Peltzer, J. Ott, S. Jung, M. J. Kochenderfer, and A. akbar Agha-mohammadi, “Safe and efficient navigation in extreme environments using semantic belief graphs,” 2023. [Online]. Available: https://arxiv.org/pdf/2304.00645.pdf

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Y. Chen, R. Gandhi, Y. Zhang, and C. Fan, “Nl2tl: Transforming natural languages to temporal logics using large language models,” arXiv preprint arXiv:2305.07766 , 2023

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Y. Chen, J. Arkin, Y. Zhang, N. Roy, and C. Fan, “Autotamp: Autoregressive task and motion planning with llms as translators and checkers,” arXiv preprint arXiv:2306.06531 , 2023

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N. Yokoyama, S. Ha, D. Batra, J. Wang, and B. Bucher, “Vlfm: Vision-language frontier maps for zero-shot semantic navigation,” in International Conference on Robotics and Automation (ICRA) , 2024

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A. Ray, C. Bradley, L. Carlone, and N. Roy, “Task and motion planning in hierarchical 3d scene graphs,” 2024. [Online]. Available: https://arxiv.org/abs/2403.08094

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N. Hughes, Y. Chang, S. Hu, R. Talak, R. Abdulhai, J. Strader, and L. Carlone, “Foundations of spatial perception for robotics: Hierarchical representations and real-time systems,” The International Journal of Robotics Research , 2024. [Online]. Available: https://doi.org/10.1177/02783649241229725

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X. Liu, J. Lei, A. Prabhu, Y. Tao, I. Spasojevic, P. Chaudhari, N. Atanasov, and V. Kumar, “Slideslam: Sparse, lightweight, decentralized metric-semantic slam for multi-robot navigation,” arXiv preprint arXiv:2406.17249 , 2024

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2024