Claudio Urrea Onate
Papers
3
Total Citations
15
H-Index
3
About
Claudio Urrea-Ónate’s research bridges robotics, assistive technology, and industrial automation, with a focus on making manufacturing environments more accessible. His major contributions center on developing human-robot interfaces that enable people with physical disabilities to control industrial manipulators through intuitive hand gestures. Using the Kinect sensor and Wi-Fi communication via ESP8266 modules, he designed and evaluated telerobotic systems that allow real-time control of 4-degree-of-freedom robots. His work also addresses data reliability in industrial settings: one of his most cited papers (6 citations) implements Hamming code for error detection and correction in telerobotic communication, ensuring robust performance despite electromagnetic interference. Another key paper (also 6 citations) demonstrates a complete telerobotic system for disabled users, integrating gesture recognition with an Arduino Mega board. His 2018 study on a human-robot interface for people with physical disabilities, tested in a simulated industrial process, further underscores his commitment to inclusive automation. Though his citation counts are modest, Urrea-Ónate’s research is notable for its practical, low-cost approach to assistive robotics, offering a pathway for greater workforce participation by individuals with disabilities.
Research Focus
Key Achievements
Top Papers
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