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My path into robotics started with a Master’s degree in Automation and Robotics, where I discovered a strong interest in how robots move, interact with their environment, and manipulate objects.
During that time, and later through one year of PhD-level research, I worked on robot manipulation and object grasping, exploring how robots perceive objects, plan grasps, and interact with the physical world.
Afterwards, I chose to take a more applied route. I completed a Master’s degree in Teaching and at the same time I began working as a vocational teacher of electrical systems for boats and railway applications. Working closely with motors, generators, and electrical circuits has given me a deep appreciation for how robotic systems behave once theory becomes hardware.
Now, I’m ready to take the next step and fully commit to a career in robotics industry. I’m looking for a role where I can challenge myself, grow technically, and contribute to ambitious robotic projects.
My projects
Gaze-based interface for robotic wheelchair guidance
Gaze-based interface for robotic wheelchair guidance
Developed a gaze-based human–robot interface to control and assist the navigation of a robotic wheelchair for users with reduced upper-limb mobility. Integrated eye-tracking, blink detection, computer vision, and object detection to enable assisted driving, seat control, and intention interpretation. The project explores initial steps toward autonomous guidance by estimating gaze direction relative to the wheelchair and detecting user-targeted objects in the environment.
Data-Driven Task-Oriented Grasping for Robotic Manipulation (Research Project)
Data-Driven Task-Oriented Grasping for Robotic Manipulation (Research Project)
One-year PhD research project focused on data-driven, task-oriented robotic grasping under academic supervision. The work involved an extensive state-of-the-art review, problem formulation, and the design of a research framework for synthetic dataset generation, novel grasp quality metrics, and supervised learning strategies for single and dual grippers. Although not fully implemented, the project established a solid methodological foundation and a clear research roadmap for future developments in robotic manipulation.
My education
MSc in Automatic Control and Robotics
PhD Studies in Automatic Control, Robotics and Computer (1 year · European research projects)
BSc in Industrial Management Engineering
MSc in Secondary Education Teacher Training (Technology specialisation)
My experience
Vocational Teacher of Electrical Systems
Boats & Railway Applications
→ Teaching electrical machines, motors, generators, and electrical circuits.
PhD Researcher (1 year) – Robot Manipulation & Grasping - IOC (UPC)
→ Research on robot–object interaction, grasping, and manipulation.
Computer Vision and Perception Intern – UPC
→ Eye-tracking systems and vision-based perception.
Industrial Management Intern (E-commerce) – Cono Sur Exclusivas
→ ERP (Odoo) data integration and operational workflows.
My skills
My skills
Robot manipulation and learning
Robot manipulation and learning
Control and actuation
Control and actuation
Computer vision and perception
Computer vision and perception
Reinforcement learning
Reinforcement learning
Electrical machines and real hardware
Electrical machines and real hardware
Programming (intermediate): Python · C++ · MATLAB · ROS
Programming (intermediate): Python · C++ · MATLAB · ROS
State-of-the-art analysis
Explaining complex technical concepts clearly
Teamwork and collaborative problem-solving
Contact Me
If you’re hiring in robotics and my profile caught your attention, I'd welcome a first conversation.
linkedin.com/in/paulaolveramarín
olveralpaula@gmail.com
github.com/paulaOlvera
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