Eber Lawrence Souza Gouveia
Papers
2
Total Citations
50
H-Index
2
About
Eber Lawrence Souza Gouveia is a rising authority in the digital twin (DT) ecosystem, with a focused expertise on bridging virtual simulation and physical automation for Industry 4.0. His work centers on developing high-fidelity, real-time synchronized replicas of industrial assets, with a particular emphasis on robotic systems. Gouveia’s major contribution lies in his pioneering use of the Unity engine—traditionally a game development platform—as a robust digital and communication layer for DTs. His 2024 paper on this framework, which has garnered 29 citations, provides a compelling case study of a robotic arm in a smart manufacturing cell, demonstrating how Unity and ROS can enable seamless data exchange and intelligent automation. Expanding on this, his 2025 comparative study (21 citations) systematically evaluates the performance of DTs built in Unity versus Gazebo, offering critical insights into simulation fidelity and lifecycle management. By proving that game engines can rival specialized robotics simulators for predictive maintenance and real-time control, Gouveia is helping to democratize DT development, making it more accessible and scalable for modern smart factories.
Research Focus
Key Achievements
Top Papers
- 1
- 2Comparative Study of Digital Twin Developed in Unity and Gazebo21 citations · 2025