Papers

3

Total Citations

24

H-Index

3

About

Yecid Moreno is a rising researcher in the field of wearable robotics and human–robot interaction, with a focus on exoskeleton control and rehabilitation technology. His work centers on solving the fundamental challenge of making exoskeletons “transparent”—imperceptible to the user—through advanced cooperative control strategies. In his most-cited paper, “Markovian Transparency Control of an Exoskeleton Robot” (2022, 13 citations), Moreno proposed a novel approach to this difficult control problem, which must contend with unpredictable human movements and user-dependent behavior. He has since expanded his research to explore human–exoskeleton interaction dynamics, as seen in his 2024 study on knee flexion–extension performance under varied robot assistance–resistance configurations (6 citations), contributing directly to improved knee rehabilitation therapy for patients recovering from trauma or neuromotor diseases. Moreno also developed an impedance control test bench (2024, 5 citations) to better manage the physical interaction forces between robots and their environments. His work bridges control theory, biomechanics, and clinical application, making him a promising voice in the next generation of rehabilitation robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Markovian Transparency Control of an Exoskeleton Robot
13 citations · 2022
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universidade Federal de São Carlos, Universidade de São Paulo

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago