Matteo Palieri

Orcid: 0000-0001-8218-3346

According to our database1, Matteo Palieri authored at least 15 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge.
IEEE Trans. Robotics, 2024

2022
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.
Field Robotics, March, 2022

LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping.
IEEE Robotics Autom. Lett., 2022

LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments.
IEEE Robotics Autom. Lett., 2022

Present and Future of SLAM in Extreme Underground Environments.
CoRR, 2022

LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time Underground 3D Mapping.
CoRR, 2022

ROSE: Robust State Estimation via Online Covariance Adaption.
Proceedings of the Robotics Research, 2022

2021
Corrections to "LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time".
IEEE Robotics Autom. Lett., 2021

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time.
IEEE Robotics Autom. Lett., 2021

DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments.
J. Intell. Robotic Syst., 2021

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge.
CoRR, 2021

2020
Autonomous Spot: Long-Range Autonomous Exploration of Extreme Environments with Legged Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Power Management Framework for Optical Infrastructure.
Proceedings of the 22nd International Conference on Transparent Optical Networks, 2020

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2018
Omero 2.0.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2018


  Loading...