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Luca Carlone

Luca Carlone

D-Index & Metrics

Computer Science

D-Index
54
Citations
19524
World Ranking
4447
National Ranking
2079

Overview

Luca Carlone is affiliated with MIT in the United States and has contributed extensively to research in robotics and computer science. Their work spans multiple subfields and topics related to spatial perception, robotic localization, and sensor-based technologies.

Their research focuses on several main fields of study, including:

  • Computer Science
  • Engineering

Within these fields, their subfields of expertise include:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Geology

The main topics addressed in their work cover:

  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Advanced Vision and Imaging
  • 3D Surveying and Cultural Heritage
  • Human Pose and Action Recognition
  • Modular Robots and Swarm Intelligence
  • Remote Sensing and LiDAR Applications

Luca Carlone has published frequently in prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Robotics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • The International Journal of Robotics Research

Frequent collaborators in their work include:

  • Jingnan Shi
  • Yun Chang
  • Nathan Hughes
  • Kamak Ebadi
  • Benjamin Morrell

Recent papers authored or co-authored by Luca Carlone include:

  • TEASER: Fast and Certifiable Point Cloud Registration, 2020, IEEE Transactions on Robotics
  • Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection, 2020, IEEE Robotics and Automation Letters
  • A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers, 2023, IEEE Transactions on Robotics
  • Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems, 2022, IEEE Transactions on Robotics
  • LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments, 2022, IEEE Robotics and Automation Letters

Best Publications

  • Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • On-Manifold Preintegration for Real-Time Visual--Inertial Odometry

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • TEASER: Fast and Certifiable Point Cloud Registration

    Heng Yang;Jingnan Shi;Luca Carlone

  • IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

    Antoni Rosinol;Marcus Abate;Yun Chang;Luca Carlone

  • DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

    Pierre-Yves Lajoie;Benjamin Ramtoula;Yun Chang;Luca Carlone

  • NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields

    Unknown

  • SE-Sync: a certifiably correct algorithm for synchronization over the special Euclidean group

    David M. Rosen;Luca Carlone;Afonso S. Bandeira;John J. Leonard

  • Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

    Heng Yang;Pasquale Antonante;Vasileios Tzoumas;Luca Carlone

  • Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems

    Unknown

  • Initialization techniques for 3D SLAM: A survey on rotation estimation and its use in pose graph optimization

    Luca Carlone;Roberto Tron;Kostas Daniilidis;Frank Dellaert

  • Duckietown: An open, inexpensive and flexible platform for autonomy education and research

    Liam Paull;Jacopo Tani;Heejin Ahn;Javier Alonso-Mora

  • Planning in the continuous domain

    Vadim Indelman;Luca Carlone;Frank Dellaert

  • Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

    Unknown

  • LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

    Kamak Ebadi;Yun Chang;Matteo Palieri;Alex Stephens

  • A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group.

    David M. Rosen;Luca Carlone;Afonso S. Bandeira;John J. Leonard

  • Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones

    Amr Suleiman;Zhengdong Zhang;Luca Carlone;Sertac Karaman

  • 3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

    Antoni Rosinol;Arjun Gupta;Marcus Abate;Jingnan Shi

  • Modeling Perceptual Aliasing in SLAM via Discrete–Continuous Graphical Models

    Pierre-Yves Lajoie;Siyi Hu;Giovanni Beltrame;Luca Carlone

  • Attention and Anticipation in Fast Visual-Inertial Navigation

    Luca Carlone;Sertac Karaman

  • Rao-Blackwellized Particle Filters multi robot SLAM with unknown initial correspondences and limited communication

    Luca Carlone;Miguel Kaouk Ng;Jingjing Du;Basilio Bona

  • A Linear Approximation for Graph-based Simultaneous Localization and Mapping

    Luca Carlone;Rosario Aragues;José A. Castellanos;Basilio Bona

  • Supplementary Material to: IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

Frequent Co-Authors

Frank Dellaert
Frank Dellaert Georgia Institute of Technology
Giuseppe Carlo Calafiore
Giuseppe Carlo Calafiore Polytechnic University of Turin
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Luca Schenato
Luca Schenato University of Padua
Henrik I. Christensen
Henrik I. Christensen University of California, San Diego
George J. Pappas
George J. Pappas University of Pennsylvania

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