Region Clustering for Mobile Robot Autonomous Exploration in Unknown Environment
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0617-8_25
Reference18 articles.
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4. Dang, T., Khattak, S., Mascarich, F., et al.: Explore locally plan globally: a path planning framework for autonomous robotic exploration in subterranean environments. In: 19th International Conference on Advanced Robotics (ICAR), pp. 9–16 (2019)
5. Khattak, S., Nguyen, H., Mascarich, F., Dang, T., Alexis, K.: Complementary multi-modal sensor fusion for resilient robot pose estimation in subterranean environments. In: 2020 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1024–1029 (2020)
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