Electronic engineer entrepreneur, self-taught, responsible, creative and goal-oriented. He is a Ph.D. Student in Computer Science & Engineering at Lehigh University under the supervision of Prof. David Saldaña. He belongs to Swarms lab and Autonomous and Intelligent Robotics Laboratory AIRLab at Lehigh University. He is a candidate to earn an MSc. in control engineering at the University of Ibague, Colombia, under the direction of Prof. Oswaldo Lopez.
He worked for a company called Ideas Disruptivas in Mexico, where, as a project manager, he helped develop the first Mexican 3D printer with a clear educational purpose. The most outstanding project I have worked on is called pretty hand where a mechanical-electronic hand was designed for people needing hand prosthesis; it was a low-cost social project.
During my master’s degree, I was chair of the IEEE student branch chapter and chair industrial application society at the University of Ibague.
Ph. D. in Computer science and engineering, 2025
Lehigh University
Master in control engineering, 2019
Universidad de Ibagué
Electronic engineer, 2017
Universidad de Ibagué
Five years of teaching experience.
Three years working as engineer in Mexico
Contributing, Creativity, Leadership, Helpfulness.
Proactivity.
Experience in writing scientific paper and research reports.
Phyton, ROS, MATLAB, C, C++, Assembler.
Solidworks, Rino, Sketchup.
This is my hobby - I usually drive to office on bicycle.
Transporting objects using aerial robots has been widely studied in the literature. Still, those approaches always assume that the connection between the quadrotor and the load is made in a previous stage. However, that previous stage usually requires human intervention, and autonomous procedures to locate and attach the object are not considered. Additionally, most of the approaches assume cables as rigid links, but manipulating cables requires considering the state when the cables are hanging. In this work, we design and control a catenary robot. Our robot is able to transport hook-shaped objects in the environment. The robotic system is composed of two quadrotors attached to the two ends of a cable. By defining the catenary curve with five degrees of freedom, position in 3-D, orientation in z-axis, and span, we can drive the two quadrotors to track a given trajectory. We validate our approach with simulations and real robots. We present four different scenarios of experiments. Our numerical solution is computationally fast and can be executed in real-time.