Stephany Ortuno Chanelo

Ph.D. candidate in Intelligenza Artificiale , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

My research interests are focused on robotics and computer vision, with a particular emphasis on industrial applications.

Tutors

Research presentation

Poster

Research interests

Robotics and human-robot interaction for Industry 4.0
3D vision and 3D reconstruction

Biography

I am a robotics researcher with a strong interdisciplinary background. My academic and professional journey has been driven by a continuous interest in creating autonomous systems capable of perceiving, understanding, and interacting with their environment.

I earned my Bachelor’s degree in Geoscience, where I designed and built a mobile exploration robot intended for field data collection. This experience sparked my fascination with robotics and the potential of autonomous machines to support scientific exploration in challenging environments.

Following that, I pursued a Master’s degree in Electrical Engineering at the National Autonomous University of Mexico (UNAM). During my master’s studies, I worked on service robots that integrated multiple complex systems, including computer vision, mobile navigation, and robotic grasping. This multidisciplinary project strengthened my understanding of how perception, control, and interaction can be combined to create robots capable of assisting humans in dynamic environments.

Currently, I am pursuing a Ph.D. in Artifitial Intelligence focused on industrial robotics, in collaboration with COMAU, a leading company in automation and robotic solutions. My research centers on robotic grasping for industrial applications, where I combine 3D vision, artificial intelligence, and robotic control to enable robots to identify, localize, and manipulate objects in industrial scenarios.

My broader research interests include robotic perception, automation, computer vision, and intelligent manipulation. I am particularly motivated by the challenge of integrating perception and action to develop systems that can operate reliably in real-world contexts.

Teaching

Teachings

Master of Science