Papers

13

Total Citations

167

H-Index

7

About

Juan Manuel Ibarra Zannatha is a leading researcher in humanoid robotics, control systems, and computer vision, with a career dedicated to advancing autonomous and rehabilitation robotics. His most influential work, "Development of a system based on 3D vision, interactive virtual environments, ergonometric signals and a humanoid for stroke rehabilitation" (71 citations), integrates multimodal sensing and humanoid platforms to aid motor recovery, showcasing his commitment to socially impactful technology. He has made foundational contributions to humanoid kinematics, providing closed-form solutions for forward and inverse kinematics in small-sized robots, and pioneered the application of active disturbance rejection control (ADRC) for stable walking, enhanced by sliding mode observers. His research extends to multi-robot coordination via artificial vision, monocular self-localization for soccer robots, and optimal mechanical design using genetic algorithms—including the energy-efficient Johnny humanoid. With over 150 citations across his top papers, Ibarra Zannatha’s work bridges theoretical control and practical robotics, influencing rehabilitation, autonomous navigation, and competitive robotics like RoboCup. His innovative use of vision-based control and disturbance rejection continues to inspire new generations of roboticists.

Research Focus

Key Achievements

7
H-Index
13
Papers
167
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Development of a system based on 3D vision, interactive virtual environments, ergonometric signals and a humanoid for stroke rehabilitation
71 citations · 2013
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago