Matteo Matteucci

About

Matteo Matteucci is a prominent robotics researcher whose work spans mobile robot localization, odometry, benchmarking methodologies, and autonomous systems. Based at the Politecnico di Milano, his research has made lasting contributions to the foundations of reliable robot navigation and performance evaluation. Matteucci's early work focused on developing kinematic-independent dead-reckoning sensors using paired optical mice, offering a practical, low-cost solution to robust odometry that remains independent of robot morphology — work that has attracted over 130 combined citations. He was a central contributor to the RAWSEEDS project, which produced widely adopted ground truth datasets and benchmarking toolkits for indoor self-localization and mapping, earning nearly 170 combined citations and becoming a valuable resource for the SLAM research community. His interests extend to real-time 3D mesh reconstruction for autonomous driving, agricultural robotics through the GRAPE vineyard monitoring platform, and open-source robot prototyping frameworks. He has also advanced the science of robotic competitions as rigorous experimental benchmarks, contributing frameworks that tie task performance to meaningful scientific evaluation. With over 570 citations across his most recognized works, Matteucci's research consistently bridges theoretical rigor with practical, deployable robotics solutions.

Research Focus

Key Achievements

Top Papers

1. 1
   Rawseeds ground truth collection systems for indoor self-localization and mapping

   138 citations · 2009
2. 2
   Automatic Error Detection and Reduction for an Odometric Sensor based on Two Optical Mice

   83 citations · 2006
3. 3
   Competitions for Benchmarking: Task and Functionality Scoring Complete Performance Assessment

   71 citations · 2015
4. 4
   A kinematic-independent dead-reckoning sensor for indoor mobile robotics

   52 citations · 2005
5. 5
   Real-Time CPU-Based Large-Scale Three-Dimensional Mesh Reconstruction

   44 citations · 2018
6. 6
   R2P: An open source hardware and software modular approach to robot prototyping

   42 citations · 2013
7. 7
   An architecture to coordinate fuzzy behaviors to control an autonomous robot

   41 citations · 2003
8. 8
   GRAPE: Ground Robot for vineyArd Monitoring and ProtEction

   35 citations · 2017
9. 9
   Rawseeds: Building a Benchmarking Toolkit for Autonomous Robotics

   33 citations · 2013
10. 10
    Fuzzy and Crisp Representations of Real-Valued Input for Learning Classifier Systems

    33 citations · 2000

Key Collaborators

Contact & Links