Carlos Neves

About

Carlos Neves is a leading researcher at the intersection of Industry 4.0, smart manufacturing, and autonomous robotics. His most influential work centers on the virtualization of production processes, where he has pioneered the application of digital twins to shop floor environments. His highly cited 2019 paper, “Shop Floor Virtualization and Industry 4.0” (22 citations), established a foundational framework for creating virtual replicas of physical production systems, while his 2020 work on supporting smart factory components through digital twins (21 citations) directly addresses the critical challenge of reducing commissioning times in complex automated systems. Neves has also made significant contributions to mobile robotics and autonomous driving, including a seminal study on monocular camera calibration (14 citations) and foundational work on indoor robot localization and navigation (18 citations). His research portfolio extends to educational robotics, where his technical database on K-12 robotics platforms (10 citations) has helped shape STEAM learning approaches. With a career spanning from system architectures for advanced robotics (1995) to recent surveys on gripper technologies and SLAM algorithms, Neves demonstrates a rare combination of enduring theoretical insight and cutting-edge practical application, making him a key figure in the ongoing transformation of industrial automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Shop Floor Virtualization and Industry 4.0

   22 citations · 2019
2. 2
   Supporting the Design, Commissioning and Supervision of Smart Factory Components through their Digital Twin

   21 citations · 2020
3. 3
   Localization and navigation of a mobile robot in an office-like environment

   18 citations · 2013
4. 4
   Monocular Camera Calibration for Autonomous Driving — a comparative study

   14 citations · 2020
5. 5
   Technical database on robotics-based educational platforms for K-12 students

   10 citations · 2018
6. 6
   A systematic review of developments in gripper technologies for rigid fabric parts

   5 citations · 2024
7. 7
   SURVEY OF SEMI-PASSIVE LOCOMOTION METHODOLOGIES FOR HUMANOID ROBOTS

   5 citations · 2012
8. 8
   Survey of SLAM Algorithms with ROS Support

   2 citations · 2024
9. 9
   Energy Efficient MPC for Biped Semi-passive Locomotion

   2 citations · 2015
10. 10
    System architectures for advanced robotics

    2 citations · 1995

Key Collaborators

Contact & Links