Juan S. Toquica
Papers
9
Total Citations
200
H-Index
8
About
Juan S. Toquica is a leading researcher in advanced manufacturing and industrial robotics, with a focus on bridging the gap between traditional numerical control (CNC) systems and modern robotic platforms. His major contributions center on developing STEP-NC compliant architectures for robotic machining, enabling robots to perform complex manufacturing tasks with the precision of CNC machines while retaining their flexibility and cost-effectiveness. Toquica’s work on solving the inverse kinematic problem of parallel robots using both analytical and deep learning models has garnered 72 citations, demonstrating its impact on robotic control theory. He has also pioneered methodologies for industrial robot calibration based on measurement sub-regions, with his 2021 paper receiving 23 citations and a 2024 follow-up adding 11 more. Notably, his research on web-compliant open architectures for teleoperation (15 citations) provides flexible, open-source solutions for industry 4.0 requirements. Toquica’s retrofitting studies, including work on the ASEA IRB2-S6 robot, showcase practical applications for extending the life of legacy industrial equipment. His work is essential reading for researchers and engineers seeking to integrate robotics into smart manufacturing ecosystems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A STEP-NC compliant robotic machining platform for advanced manufacturing43 citations · 2017
- 3
- 4Web Compliant Open Architecture For Teleoperation of Industrial Robots15 citations · 2019
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- 6
- 7STEP-NC-based machining architecture applied to industrial robots10 citations · 2019
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