J. Enrique Chong-Quero
Papers
5
Total Citations
45
H-Index
4
About
J. Enrique Chong-Quero is a Mexican researcher whose work sits at the intersection of rehabilitation robotics, parallel mechanisms, and engineering education. His primary research focuses on developing robotic systems for physical therapy, particularly for children with cerebral palsy and patients with spastic hemiparesis. His most cited paper (17 citations) presents a video game interface for an upper limb rehabilitation robot, programmed in LabVIEW and analyzed with MATLAB, designed to improve pronation and supination movements in pediatric patients. Chong-Quero has also made significant contributions to the design of high-speed parallel robots, with his 2021 paper on the concurrent design of a 2-DOF five-bar robot (14 citations) optimizing the trade-off between trajectory tracking, energy consumption, and link deformation. His 2023 work on neural-optimal controller tuning for parallel robots further demonstrates his expertise in intelligent control systems. Notably, Chong-Quero integrates his research with education, as shown in his 2021 paper on project-based learning experiences where undergraduate students develop physical therapy robotics. This pedagogical approach, combined with his focus on low-cost, accessible rehabilitation devices for Mexico, highlights his commitment to both technological innovation and social impact.
Research Focus
Key Achievements
Top Papers
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- 3Neural-optimal tuning of a controller for a parallel robot7 citations · 2023
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