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Andrea Tagliabue
Andrea Tagliabue
Graduate Student, MIT
Verified email at mit.edu
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Nebula: Quest for robotic autonomy in challenging environments; team costar at the darpa subterranean challenge
A Agha, K Otsu, B Morrell, DD Fan, R Thakker, A Santamaria-Navarro, ...
Journal of Field Robotics (JFR), 2021
162*2021
Collaborative transportation using MAVs via passive force control
A Tagliabue, M Kamel, S Verling, R Siegwart, J Nieto
2017 IEEE international conference on robotics and automation (ICRA), 5766-5773, 2017
1232017
Robust collaborative object transportation using multiple MAVs
A Tagliabue, M Kamel, R Siegwart, J Nieto
The International Journal of Robotics Research 38 (9), 1020-1044, 2019
932019
Lion: Lidar-inertial observability-aware navigator for vision-denied environments
A Tagliabue, J Tordesillas, X Cai, A Santamaria-Navarro, JP How, ...
Experimental Robotics: The 17th International Symposium, 380-390, 2021
412021
Touch the wind: Simultaneous airflow, drag and interaction sensing on a multirotor
A Tagliabue, A Paris, S Kim, R Kubicek, S Bergbreiter, JP How
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
28*2020
Rollocopter: An energy-aware hybrid aerial-ground mobility for extreme terrains
S Sabet, AA Agha-Mohammadi, A Tagliabue, DS Elliott, PE Nikravesh
2019 IEEE Aerospace Conference, 1-8, 2019
282019
Model-free online motion adaptation for optimal range and endurance of multicopters
A Tagliabue, X Wu, MW Mueller
2019 International Conference on Robotics and Automation (ICRA), 5650-5656, 2019
252019
Shapeshifter: A multi-agent, multi-modal robotic platform for exploration of titan
A Tagliabue, S Schneider, M Pavone, A Agha-mohammadi
2020 IEEE aerospace conference, 1-13, 2020
24*2020
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC
A Tagliabue, DK Kim, M Everett, JP How
2022 International Conference on Robotics and Automation (ICRA), 2021
17*2021
A whisker-inspired fin sensor for multi-directional airflow sensing
S Kim, R Kubicek, A Paris, A Tagliabue, JP How, S Bergbreiter
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
162020
Model-free online motion adaptation for energy-efficient flight of multicopters
X Wu, J Zeng, A Tagliabue, MW Mueller
IEEE Access 10, 65507-65519, 2022
102022
Autonomous MAV landing on a moving platform with estimation of unknown turbulent wind conditions
A Paris, A Tagliabue, JP How
AIAA Scitech 2021 Forum, 0378, 2021
62021
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning
A Tagliabue, JP How
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
42022
Robust, high-rate trajectory tracking on insect-scale soft-actuated aerial robots with deep-learned tube mpc
A Tagliabue, YH Hsiao, U Fasel, JN Kutz, SL Brunton, YF Chen, JP How
2023 IEEE International Conference on Robotics and Automation (ICRA), 3383-3389, 2023
22023
Airflow-Inertial Odometry for Resilient State Estimation on Multirotors
A Tagliabue, JP How
2021 IEEE International Conference on Robotics and Automation (ICRA), 5736-5743, 2021
22021
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
K Kondo, CT Tewari, MB Peterson, A Thomas, J Kinnari, A Tagliabue, ...
arXiv preprint arXiv:2311.03655, 2023
12023
REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots
A Tagliabue, K Kondo, T Zhao, M Peterson, CT Tewari, JP How
Workshop on Language and Robot Learning, CoRL 2023, 2023
12023
Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation
T Zhao, A Tagliabue, JP How
arXiv preprint arXiv:2303.15688, 2023
12023
Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs
A Tagliabue, JP How
arXiv preprint arXiv:2311.14153, 2023
2023
Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data Augmentation
A Tagliabue, JP How
arXiv preprint arXiv:2306.00286, 2023
2023
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