Paulo Dias

About

Paulo Dias is a leading researcher in robotics and autonomous systems, with a primary focus on multi-sensor calibration, human-robot interaction (HRI), and robotic exploration. His most impactful contributions center on developing robust, generalizable frameworks for extrinsic calibration of multi-modal, multi-sensor systems—critical for enabling intelligent vehicles and robots to perceive and navigate complex environments. His highly cited work, including the ATOM framework (25 citations) and a ROS-based calibration approach (23 citations), provides standardized, accessible solutions that have become foundational for researchers and practitioners in the field. Dias has also advanced HRI for manufacturing, creating gesture-recognition systems that allow robots to receive commands and provide feedback, directly supporting the adoption of robotics by small and medium-sized enterprises. Beyond terrestrial applications, his research extends to coordinated robotic ocean exploration, where multi-robot teams autonomously sample dynamic open-ocean phenomena, demonstrating the versatility of his calibration and perception techniques. With over 130 citations across his top papers, Dias’s work bridges theoretical rigor and practical deployment, offering essential tools and methodologies that empower the next generation of autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   ATOM: A general calibration framework for multi-modal, multi-sensor systems

   25 citations · 2022
2. 2
   A ROS framework for the extrinsic calibration of intelligent vehicles: A multi-sensor, multi-modal approach

   23 citations · 2020
3. 3
   Rich and robust human-robot interaction on gesture recognition for assembly tasks

   16 citations · 2017
4. 4
   Automatic Calibration of Multiple LIDAR Sensors Using a Moving Sphere as Target

   11 citations · 2015
5. 5
   Detection of Aruco Markers Using the Quadrilateral Sum Conjuncture

   10 citations · 2018
6. 6
   Detection of Aerial Balls in Robotic Soccer Using a Mixture of Color and Depth Information

   10 citations · 2015
7. 7
   Coordinated Robotic Exploration of Dynamic Open Ocean Phenomena

   9 citations · 2022
8. 8
   A General Approach to the Extrinsic Calibration of Intelligent Vehicles Using ROS

   9 citations · 2019
9. 9
   To Boldly Dive Where No One Has Gone Before: Experiments in Coordinated Robotic Ocean Exploration

   9 citations · 2021
10. 10
    Multi-Sensor Extrinsic Calibration Using an Extended Set of Pairwise Geometric Transformations

    8 citations · 2020

Key Collaborators

Contact & Links