Papers

1

Total Citations

3

H-Index

1

About

Dr. Jorge Ibarra is a leading researcher in rehabilitation robotics and assistive technologies, with a primary focus on developing advanced control strategies for human-robot interaction. His most-cited work, "Human Torque Estimation for an LMI-Based Convex Control Rehabilitation Strategy Using Assistive Robots" (2024), addresses a critical challenge in motor rehabilitation: safely managing the dynamic interaction between patients and robotic devices. By employing Linear Matrix Inequalities (LMI) for convex control, Dr. Ibarra has pioneered methods to estimate human torque in real-time, enabling more adaptive and responsive assistive robots that can better support individuals with motor impairments. This contribution is particularly significant given the rising global demand for effective rehabilitation solutions. With 3 citations already, his work is gaining traction in the robotics and biomedical engineering communities. Dr. Ibarra’s research bridges control theory and clinical application, offering promising pathways for personalized, safe, and efficient robotic therapy. His innovative approach positions him as an emerging authority in the field, dedicated to improving quality of life through intelligent assistive systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Human Torque Estimation for an LMI-Based Convex Control Rehabilitation Strategy Using Assistive Robots
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago