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Andrea Tagliabue — most-cited papers & profile · Reinforcement Learning
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Andrea Tagliabue
15
papers ·
24
citations
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Most-cited papers
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
2021 · 20 citations
Collaborative Object Transportation Using MAVs via Passive Force Control
2016 · 4 citations
Robust Collaborative Object Transportation Using Multiple MAVs
2017
Shapeshifter: A Multi-Agent, Multi-Modal Robotic Platform for Exploration of Titan
2020
LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments
2021
Airflow-Inertial Odometry for Resilient State Estimation on Multirotors
2021
Model-free online motion adaptation for energy efficient flights of multicopters
2021
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC
2021
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning
2022
Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation
2023
REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots
2023
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
2023
Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs
2023
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
2024
PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner
2024
Topics
cs.RO
cs.LG
cs.AI
Control
Drones
Multi-Robot
Manipulation
cs.SY
eess.SY
cs.MA