Amine Abou Moughlbay
Papers
7
Total Citations
120
H-Index
6
About
Amine Abou Moughlbay is a roboticist whose work bridges the gap between remote education, human-robot collaboration, and autonomous manipulation. His most influential contribution is the **Robot Programming Network (RPN)** , a pioneering platform that allows users to write and execute ROS code directly in a web browser to control remote robots. This work, detailed in his top-cited paper (44 citations), has transformed how robotics is taught and practiced, making complex robotic systems accessible for remote education and training. Beyond teleoperation, Moughlbay has advanced **skill-based robot programming**, integrating assembly, vision, and workspace monitoring into a unified framework (36 citations). He has also made significant strides in **model-based visual servoing**, developing error regulation strategies for autonomous object grasping with humanoid robots like the Nao. His research on **reliable workspace monitoring** (6 citations) addresses a critical challenge in safe human-robot environments, proposing vision systems that enable flexible, collaborative production. With a portfolio spanning over 120 citations, Moughlbay’s work is essential reading for anyone interested in democratizing robotics through cloud-based programming and enhancing robot autonomy in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1ROS-based online robot programming for remote education and training44 citations · 2015
- 2
- 3The Robot Programming Network17 citations · 2015
- 4Real-Time Model Based Visual Servoing Tasks on a Humanoid Robot7 citations · 2012
- 5Reliable Workspace Monitoring in Safe Human-Robot Environment6 citations · 2016
- 6Model Based Visual Servoing Tasks with an Autonomous Humanoid Robot6 citations · 2012
- 7