Juan Manuel Ibarra Zannatha
Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
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
Top Papers
- 1
- 2Forward and Inverse Kinematics for a Small-Sized Humanoid Robot23 citations · 2009
- 3Coordinated Control Of Mobile Robots Based On Artificial Vision16 citations · 2006
- 4
- 5
- 6Active Disturbance Rejection Control for humanoid stable walking7 citations · 2016
- 7Monocular visual self-localization for humanoid soccer robots7 citations · 2011
- 8
- 9Mechanical design and kinematic analysis of the AH1N1 humanoid robot3 citations · 2011
- 10