projects

In this project, we are investigating and proposing a novel knowledge representation framework for robot memory introspection in decision-making and explanatory scenarios for long-term tasks.

In this project, we are investigating new methods to fill the gap between the reasoning and the execution layers of a robotic system. To fulfill this objective is fundamental to gather in the same team researchers from both subfields in robotics.

This standard defines additional requirements for the Autonomous Robot (AuR) ontology to address reasoning on multiple robots, extending the baseline ontology defined in IEEE 1872.2-2021.

In this project, we will develop a novel framework to combine explanations originated at the different robotic levels into a single explanation.

This project’s main objective is to facilitate the use of collaborative robotics in current manufacturing scenarios.

This standard is a logical extension to IEEE 1872-2015 Standard for Ontologies for Robotics and Automation.

Development of a system which provides proactive assistance with dressing to different user’s profiles.

Development of a platform DIY to ease the design, manufacturing and programming of robots in the educational robotics domain.