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Appendix for the Motion Primitives-based Path Planning for Fast and Agile Exploration Method.

, , and . CoRR, (2020)

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Learning-based Path Planning for Autonomous Exploration of Subterranean Environments., , , , and . ICRA, page 1215-1221. IEEE, (2020)Hypergame-based Adaptive Behavior Path Planning for Combined Exploration and Visual Search., , , and . ICRA, page 269-275. IEEE, (2021)Visual Saliency-Aware Receding Horizon Autonomous Exploration with Application to Aerial Robotics., , and . ICRA, page 2526-2533. IEEE, (2018)Graph-based Path Planning for Autonomous Robotic Exploration in Subterranean Environments., , , , and . IROS, page 3105-3112. IEEE, (2019)The Reconfigurable Aerial Robotic Chain: Modeling and Control., , and . ICRA, page 5328-5334. IEEE, (2020)Collision-tolerant Autonomous Navigation through Manhole-sized Confined Environments., , , , and . SSRR, page 84-89. IEEE, (2020)Decoding time-course of saliency network of fMRI signals by EEG signals using optimized forward variable selection: a concurrent EEG-fMRI study., , , , and . APSIPA ASC, page 540-545. IEEE, (2023)Visual-Inertial Odometry-enhanced Geometrically Stable ICP for Mapping Applications using Aerial Robots., , , and . CoRR, (2018)Appendix for the Motion Primitives-based Path Planning for Fast and Agile Exploration Method., , and . CoRR, (2020)oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data., , and . Frontiers Neuroinformatics, (March 2023)