Javier Gavilanes

Escuela Superior Politécnica del Chimborazo, Centre for Automation and Robotics

Papers

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About

Javier Gavilanes is a robotics researcher whose work bridges autonomous systems, humanitarian technology, and computer vision. His primary research areas include autonomous driving, robotic manipulation, and assistive robotics for hazardous environments. Gavilanes’ most notable contribution is his development of an autonomous driving control system that integrates artificial vision techniques with the NAO humanoid robot, a work that has garnered 5 citations and demonstrates his ability to combine perception and control in real-world applications. He also designed an instrumented scanning manipulator for landmines detection—a 5-degree-of-freedom robotic arm equipped with a metal detector and a mini-TOF camera for terrain mapping. This project, cited 2 times, highlights his commitment to using robotics for humanitarian demining, addressing critical safety challenges. Additionally, Gavilanes has contributed to industrial robotics through the kinematic modeling and simulation of a Kawasaki RS 003N robotic arm, creating a CAD-based control algorithm for the Mechanical Engineering Faculty at ESPOCH. His work reflects a practical, application-driven approach, making him a valuable figure in the fields of autonomous navigation and robotic assistance for dangerous tasks.