Ibrahim M. M. El-Emary
Papers
1
Total Citations
11
H-Index
1
About
Ibrahim M. M. El-Emary is a researcher whose work sits at the intersection of robotics, artificial intelligence, and human-machine interaction. His key research areas include speech recognition systems, tele-robotics, and the application of probabilistic models for control systems. His most notable contribution is the development of a Hidden Markov Model/Gaussian Mixture Model (HMM/GMM) based voice command system, designed to enhance the control of the remotely operated robot arm TR45. This work, published in 2011 and garnering 11 citations, demonstrates a practical approach to integrating robust speech recognition with robotic tele-manipulation. By employing Cepstral coefficients with energy and differentials as features, El-Emary’s system improved the accuracy and reliability of voice-controlled robotic operations. This contribution is significant for advancing accessible and intuitive control interfaces in industrial and assistive robotics, showcasing how probabilistic models can bridge the gap between human speech and machine action.
Research Focus
Key Achievements
Top Papers
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