Luca Bartolomei

Orcid: 0000-0002-4329-8711

Affiliations:
  • ETH Zürich, Switzerland (PhD 2023)


According to our database1, Luca Bartolomei authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Fast Multi-UAV Decentralized Exploration of Forests.
IEEE Robotics Autom. Lett., September, 2023

Towards Robust Active Planning for Autonomous Aerial Navigation.
PhD thesis, 2023

Towards Multi-robot Exploration: A Decentralized Strategy for UAV Forest Exploration.
CoRR, 2023

Decentralised Multi-Robot Exploration Using Monte Carlo Tree Search.
IROS, 2023

2022
Sweep-Your-Map: Efficient Coverage Planning for Aerial Teams in Large-Scale Environments.
IEEE Robotics Autom. Lett., 2022

Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

T-PRM: Temporal Probabilistic Roadmap for Path Planning in Dynamic Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Autonomous Emergency Landing for Multicopters using Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Informed Sampling Exploration Path Planner for 3D Reconstruction of Large Scenes.
IEEE Robotics Autom. Lett., 2021

Semantic-aware Active Perception for UAVs using Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Perception-aware Path Planning for UAVs using Semantic Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-robot Coordination with Agent-Server Architecture for Autonomous Navigation in Partially Unknown Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Active Learning for UAV-based Semantic Mapping.
CoRR, 2019

A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019


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