Gabriel Doretto Morais
Papers
1
Total Citations
42
H-Index
1
About
Gabriel Doretto Morais is a researcher whose work sits at the intersection of human-machine interaction and assistive robotics. His primary research focus is on the application of myoelectric signals—electrical activity recorded from muscles—to create intuitive control interfaces for robotic systems. Morais’s most notable contribution, detailed in his highly cited 2016 paper “Application of Myo Armband System to Control a Robot Interface” (42 citations), demonstrates how the Myo Gesture Control Armband can translate muscle movements into precise commands for robot navigation and environmental interaction. This work has been foundational for researchers developing non-invasive, wearable control systems, particularly for assistive technologies and rehabilitation robotics. By bridging the gap between biological signals and digital interfaces, Morais has helped pave the way for more natural and accessible human-robot collaboration. His research continues to influence the design of low-cost, gesture-based control systems, making him a key figure in the advancement of myoelectric control for practical robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Application of Myo Armband System to Control a Robot Interface42 citations · 2016