Amir Mogoei
Papers
1
Total Citations
17
H-Index
1
About
Amir Mogoei is a robotics and simulation researcher whose work bridges the gap between robotic operating systems and high-fidelity virtual environments. His primary research areas include robot middleware, simulation interfaces, and real-time data transfer for autonomous systems. Mogoei's major contribution is the development of ROS2Unity3D, a high-performance plugin that enables seamless, decentralized communication between the Robot Operating System (ROS) and the Unity3D engine. By integrating ZeroMQ for efficient message passing, Google Protobuf for data serialization, and GStreamer for multimedia streaming, his work significantly enhances the fidelity and speed of robotic simulations. This innovation has been cited 17 times and is instrumental for researchers and engineers developing and testing autonomous systems in realistic virtual settings. Mogoei's approach addresses critical challenges in simulation-to-reality transfer, making his work a valuable resource for students and professionals in robotics, AI, and game-engine-based simulation.
Research Focus
Key Achievements
Top Papers
- 1ROS2Unity3D; High-Performance Plugin to Interface ROS with Unity3d engine17 citations · 2018