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Exploration is a critical challenge in robotics, centered on understanding unknown environments.
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2019
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2023
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S. K. Ramakrishnan, Z. Al-Halah, and K. Grauman, “Occupancy anticipation for efficient exploration and navigation,” in Proc. of European Conference on Computer Vision (ECCV)
2020
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M. Saroya, G. Best, and G. A. Hollinger, “Online exploration of tunnel networks leveraging topological CNN-based world predictions,” in Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2020
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C. Cao, H. Zhu, H. Choset, and J. Zhang, “TARE: A hierarchical framework for efficiently exploring complex 3D environments.,” in Proc. of Robotics: Science and Systems
2021
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M. Luperto, L. Fochetta, and F. Amigoni, “Exploration of indoor environments through predicting the layout of partially observed rooms,” in Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems
2021
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2022
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2022
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G. Best, R. Garg, J. Keller, G. A. Hollinger, and S. Scherer, “Resilient multi-sensor exploration of multifarious environments with a team of aerial robots,” in Proceedings of Robotics: Science and Systems
2022
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M. Stölzle, T. Miki, L. Gerdes, M. Azkarate, and M. Hutter, “Reconstructing occluded elevation information in terrain maps with self-supervised learning,” IEEE Robotics and Automation Letters
2022
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G. Best, R. Garg, J. Keller, G. A. Hollinger, and S. Scherer, “Multi-robot, multi-sensor exploration of multifarious environments with full mission aerial autonomy,” The International Journal of Robotics Research
2024
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2024
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S. Triest, D. D. Fan, S. Scherer, and A.-A. Agha-Mohammadi, “Unrealnet: Learning uncertainty-aware navigation features from high-fidelity scans of real environments,” in 2024 IEEE International Conference on Robotics and Automation (ICRA)
2024
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2024
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Y. Tao, E. Iceland, B. Li, E. Zwecher, U. Heinemann, A. Cohen, A. Avni, O. Gal, A. Barel, and V. Kumar, “Learning to explore indoor environments using autonomous micro aerial vehicles,” in 2024 IEEE International Conference on Robotics and Automation (ICRA)
2024
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L. Ericson and P. Jensfelt, “Beyond the frontier: Predicting unseen walls from occupancy grids by learning from floor plans,” IEEE Robotics and Automation Letters
2024
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V. D. Sharma, A. Singh, and P. Tokekar, “Pre-trained masked image model for mobile robot navigation,” in IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024
2024
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2024
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S. Kim, M. Corah, J. Keller, G. Best, and S. Scherer, “Multi-robot multi-room exploration with geometric cue extraction and circular decomposition,” IEEE Robotics and Automation Letters
2024
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