Collaborative Object Transportation Using MAVs via Passive Force Control. - Andrea Tagliabue; Mina Kamel; Sebastian Verling; Roland Siegwart; Juan I. Nieto 001 (CoRR, 2016)

Collaborative transportation using MAVs via passive force control. - Andrea Tagliabue; Mina Kamel; Sebastian Verling; Roland Siegwart; Juan I. Nieto 001 (ICRA, 2017)

Surface pressure determination: a comparison between PIV-based methods and PSP measurements. - Andrea Tagliabue; Sven Scharnowski; Christian J. Kähler (J. Vis., 2017)

Model-free Online Motion Adaptation for Optimal Range and Endurance of Multicopters. - Andrea Tagliabue; Xiangyu Wu; Mark W. Mueller (ICRA, 2019)

Robust collaborative object transportation using multiple MAVs. - Andrea Tagliabue; Mina Kamel; Roland Siegwart; Juan I. Nieto 001 (Int. J. Robotics Res., 2019)

A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing. - Suhan Kim; Regan Kubicek; Aleix Paris; Andrea Tagliabue; Jonathan P. How; Sarah Bergbreiter (IROS, 2020)

Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor. - Andrea Tagliabue; Aleix Paris; Suhan Kim; Regan Kubicek; Sarah Bergbreiter; Jonathan P. How (IROS, 2020)

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. - Andrea Tagliabue; Jesus Tordesillas; Xiaoyi Cai; Angel Santamaria-Navarro; Jonathan P. How; Luca Carlone; Ali-akbar Agha-mohammadi (ISER, 2020)

Shapeshifter: A Multi-Agent, Multi-Modal Robotic Platform for Exploration of Titan. - Andrea Tagliabue; Stephanie Schneider; Marco Pavone 001; Ali-akbar Agha-mohammadi (CoRR, 2020)

The Shapeshifter: a Morphing, Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan (preprint version). - Ali-akbar Agha-mohammadi; Andrea Tagliabue; Stephanie Schneider; Benjamin Morrell; Marco Pavone 001; Jason Hofgartner; Issa A. D. Nesnas; Rashied B. Amini; Arash Kalantari; Alessandra Babuscia; Jonathan I. Lunine (CoRR, 2020)

Airflow-Inertial Odometry for Resilient State Estimation on Multirotors. - Andrea Tagliabue; Jonathan P. How (ICRA, 2021)

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Rohan Thakker; Angel Santamaria-Navarro; Sung-Kyun Kim; Amanda Bouman; Xianmei Lei; Jeffrey A. Edlund; Muhammad Fadhil Ginting; Kamak Ebadi; et al. (CoRR, 2021)

Model-free online motion adaptation for energy efficient flights of multicopters. - Xiangyu Wu; Jun Zeng 002; Andrea Tagliabue; Mark W. Mueller (CoRR, 2021)

Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. - Andrea Tagliabue; Dong-Ki Kim; Michael Everett; Jonathan P. How (ICRA, 2022)

Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning. - Andrea Tagliabue; Jonathan P. How (IROS, 2022)

Model-Free Online Motion Adaptation for Energy-Efficient Flight of Multicopters. - Xiangyu Wu; Jun Zeng 002; Andrea Tagliabue; Mark W. Mueller (IEEE Access, 2022)

NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Rohan Thakker; Angel Santamaria-Navarro; Sung-Kyun Kim; Amanda Bouman; Xianmei Lei; Jeffrey A. Edlund; Muhammad Fadhil Ginting; Kamak Ebadi; et al. (Field Robotics, 2022)

Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. - Andrea Tagliabue; Yi-Hsuan Hsiao; Urban Fasel; J. Nathan Kutz; Steven L. Brunton; YuFeng Chen 003; Jonathan P. How (ICRA, 2023)

Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. - Tong Zhao; Andrea Tagliabue; Jonathan P. How (IROS, 2023)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs. - Andrea Tagliabue; Jonathan P. How (CoRR, 2023)

REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. - Andrea Tagliabue; Kota Kondo; Tong Zhao; Mason B. Peterson; Claudius T. Tewari; Jonathan P. How (CDC, 2024)

PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment. - Kota Kondo; Claudius T. Tewari; Mason B. Peterson; Annika Thomas; Jouko Kinnari; Andrea Tagliabue; Jonathan P. How (ICRA, 2024)

CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning. - Kota Kondo; Andrea Tagliabue; Xiaoyi Cai; Claudius T. Tewari; Olivia Garcia; Marcos Espitia-Alvarez; Jonathan P. How (CoRR, 2024)

PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner. - Kota Kondo; Claudius T. Tewari; Andrea Tagliabue; Jesus Tordesillas; Parker C. Lusk; Jonathan P. How (CoRR, 2024)

Efficient Deep Learning of Robust Policies From MPC Using Imitation and Tube-Guided Data Augmentation. - Andrea Tagliabue; Jonathan P. How (IEEE Trans. Robotics, 2024)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies From MPC via Tube-Guided Data Augmentation and NeRFs. - Andrea Tagliabue; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

Terrain-aware Low Altitude Path Planning. - Yixuan Jia; Andrea Tagliabue; Navid Dadkhah Tehrani; Jonathan P. How (CoRR, 2025)

Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control. - Yi-Hsuan Hsiao; Andrea Tagliabue; Owen Matteson; Suhan Kim; Tong Zhao; Jonathan P. How; YuFeng Chen 003 (CoRR, 2025)