Hello/Hola

Since childhood, I have been enthusiastic about electronics. This inspired me to pursue a degree in electronic engineering with an emphasis on control systems at the Salesian Polytechnic University in Ecuador. While completing my BSc, I developed a particular interest in robotics and control theory, discovering my passion for research and seeking solutions to complex problems.

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After obtaining my bachelor’s degree, I joined the Research and Development Center of the Ecuadorian Air Force as a development engineer. There, I led the National Autopilot Project, collaborating with a team of engineers to develop an autopilot system for unmanned aircraft. Working in aviation has been the coolest opportunity I have ever had.

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In August 2015, I was awarded the KGSP scholarship from the South Korean Government, prompting me to journey across the world to pursue a master’s program in one of the most innovative countries. During this master's program, I honed advanced programming skills (ROS, Gazebo, Python) and gained knowledge in machine learning, computer vision, and control theory. I actively contributed to research projects and publications as a member of the Human-Robot Interaction Laboratory at Kyung Hee University.

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Currently, I am a final-year PhD student at the University of Auckland, NZ, where I continue to cultivate my passion for robotics. My focus lies in enhancing the efficiency, safety, and precision of robots.

 

My research primarily revolves around optimizing robot efficiency through the integration of robotics with Reinforcement Learning. This blend presents an attractive solution that could accelerate the automation of industrial processes. My research projects typically leverage a combination (though not limited to) of:

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• Deep Learning

• Model-Free Reinforcement Learning

• Robotic Hands

• Robotic Arm