Marcelo Moya

Universidad UTE

Papers

3

Total Citations

11

H-Index

2

About

Marcelo Moya is a researcher at the forefront of robotics and industrial automation, with a focus on integrating biological signals and virtual environments into robotic control systems. His work bridges the gap between human physiology and machine precision, particularly through the use of electromyographic (EMG) signals to command industrial robots. In his most cited work, "Modelado y Simulación del Robot Mitsubishi RV-2JA controlado mediante señales electromiográficas" (7 citations), Moya demonstrated how surface EMG signals from the hand, captured via a Myo armband, can be used to control a Mitsubishi RV-2JA robot, pioneering a non-invasive approach to human-robot interaction. He further expanded into locomotion and simulation with "Simulación de movimiento de un robot hexápodo en entornos de realidad virtual" (3 citations), where he developed an 18-degree-of-freedom hexapod robot animation in Unity, advancing virtual prototyping for multi-legged systems. Most recently, his 2025 work on an "Automated Assembly Line with 2D Cartesian Robot and Conveyor Belt" (1 citation) underscores his commitment to optimizing industrial efficiency through integrated automation. Moya’s contributions are shaping the future of assistive robotics and smart manufacturing, offering tangible pathways for intuitive, automated systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Modelado y Simulación del Robot Mitsubishi RV-2JA controlado mediante señales electromiográficas
7 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Universidad UTE

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago