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Computer Science

D-Index
45
Citations
19587
World Ranking
6987
National Ranking
171

Overview

Giorgio Grisetti is affiliated with the Sapienza University of Rome in Italy and has contributed extensively to the fields of engineering and computer science. Their research primarily focuses on robotics and sensor-based localization, with significant work also in 3D surveying and cultural heritage, advanced image and video retrieval techniques, remote sensing and LiDAR applications, robotic path planning algorithms, advanced vision and imaging, as well as modular robots and swarm intelligence.

They have authored numerous papers published in reputable venues. Some recent notable publications include:

  • Swarm SLAM: Challenges and Perspectives, 2021, Frontiers in Robotics and AI
  • Least Squares Optimization: From Theory to Practice, 2020, IRIS Research product catalog (Sapienza University of Rome)
  • Visual Place Recognition using LiDAR Intensity Information, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Sparse Pose Graph Optimization in Cycle Space, 2021, IEEE Transactions on Robotics
  • Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images, 2022, IEEE Robotics and Automation Letters

Their frequent collaborators include Luca Di Giammarino, Tiziano Guadagnino, Emanuele Giacomini, Cyrill Stachniss, and Leonardo Brizi. These collaborations reflect a consistent engagement with a community focused on robotics and related technologies.

Giorgio Grisetti publishes predominantly in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, Frontiers in Robotics and AI, the IRIS Research product catalog at Sapienza University of Rome, and the IEEE/RSJ International Conference on Intelligent Robots and Systems. This publishing record highlights active participation in both formal peer-reviewed journals and open pre-print archives.

Their research spans subfields such as aerospace engineering, computer vision and pattern recognition, geology, environmental engineering, and mechanical engineering. This interdisciplinary approach supports their diverse research themes and application domains.

Best Publications

  • Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters

    G. Grisetti;C. Stachniss;W. Burgard

  • G 2 o: A general framework for graph optimization

    Rainer Kummerle;Giorgio Grisetti;Hauke Strasdat;Kurt Konolige

  • A Tutorial on Graph-Based SLAM

    G Grisetti;R Kümmerle;C Stachniss;W Burgard

  • Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling

    G. Grisettiyz;C. Stachniss;W. Burgard

  • Information Gain-based Exploration Using Rao-Blackwellized Particle Filters

    Cyrill Stachniss;Giorgio Grisetti;Wolfram Burgard

  • A Fully Autonomous Indoor Quadrotor

    S. Grzonka;G. Grisetti;W. Burgard

  • Efficient Sparse Pose Adjustment for 2D mapping

    Kurt Konolige;Giorgio Grisetti;Rainer Kummerle;Wolfram Burgard

  • On measuring the accuracy of SLAM algorithms

    Rainer Kümmerle;Bastian Steder;Christian Dornhege;Michael Ruhnke

  • A tree parameterization for efficiently computing maximum likelihood maps using gradient descent

    Giorgio Grisetti;Cyrill Stachniss;Slawomir Grzonka;Wolfram Burgard

  • Large scale graph-based SLAM using aerial images as prior information

    Rainer Kümmerle;Bastian Steder;Christian Dornhege;Alexander Kleiner

  • Towards a navigation system for autonomous indoor flying

    Slawomir Grzonka;Giorgio Grisetti;Wolfram Burgard

  • NICP: Dense normal based point cloud registration

    Jacopo Serafin;Giorgio Grisetti

  • Nonlinear Constraint Network Optimization for Efficient Map Learning

    G. Grisetti;C. Stachniss;W. Burgard

  • Hierarchical optimization on manifolds for online 2D and 3D mapping

    Giorgio Grisetti;Rainer Kummerle;Cyrill Stachniss;Udo Frese

  • Fast and accurate SLAM with Rao-Blackwellized particle filters

    Giorgio Grisetti;Gian Diego Tipaldi;Cyrill Stachniss;Wolfram Burgard

  • Efficient estimation of accurate maximum likelihood maps in 3D

    G. Grisetti;S. Grzonka;C. Stachniss;P. Pfaff

  • Robust place recognition for 3D range data based on point features

    Bastian Steder;Giorgio Grisetti;Wolfram Burgard

  • Scan Matching in the Hough Domain

    A. Censi;L. Iocchi;G. Grisetti

  • A comparison of SLAM algorithms based on a graph of relations

    Wolfram Burgard;Cyrill Stachniss;Giorgio Grisetti;Bastian Steder

  • Automatic model based dataset generation for fast and accurate crop and weeds detection

    Maurilio Di Cicco;Ciro Potena;Giorgio Grisetti;Alberto Pretto

  • g 2 o: A general Framework for (Hyper) Graph Optimization

    Giorgio Grisetti;Hauke Strasdat;Kurt Konolige

Frequent Co-Authors

Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Cyrill Stachniss
Cyrill Stachniss University of Bonn
Luca Iocchi
Luca Iocchi Sapienza University of Rome
Daniele Nardi
Daniele Nardi Sapienza University of Rome
Kai O. Arras
Kai O. Arras Robert Bosch (Germany)
Kurt Konolige
Kurt Konolige Google (United States)
Edwin Olson
Edwin Olson University of Michigan–Ann Arbor
Maren Bennewitz
Maren Bennewitz University of Bonn
Bastian Leibe
Bastian Leibe RWTH Aachen University

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