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Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar.

, , , , , , , and . Field Robotics, 2 (1): 1028-1067 (March 2022)

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The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains., , , , and . Auton. Agents Multi Agent Syst., 34 (1): 21 (2020)WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV., , , , , , and . CoRR, (2024)Probabilistic network topology prediction for active planning: An adaptive algorithm and application., , , and . CoRR, (2022)On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications., , , , , and . CoRR, (2022)Autonomous Extension of a Symbolic Mobile Manipulation Skill Set., , , , and . CoRR, (2020)NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments., , , and . CoRR, (2020)Online Informative Path Planning for Active Information Gathering of a 3D Surface., , , , and . ICRA, page 1488-1494. IEEE, (2021)Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind., , , , , , and . ICRA, page 1073-1079. IEEE, (2021)Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses., , , and . ICPR, page 3908-3914. IEEE, (2022)Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar., , , , , , , and . Field Robotics, 2 (1): 1028-1067 (March 2022)