Robotics, Computer Vision and Artificial Intelligence
Responsable
The Robotics, Computer Vision and Artificial Intelligence group (RoPeRT) is one of the research groups of Aragón Institute of Engineering Research (I3A), which has been considered as a Quality Research Group (Grupo Consolidado de Investigación) by the Regional Government of Aragón (Gobierno de Aragón).
It hosts 59 researchers and has expertise in mobile and manipulation robotics, perception systems, computer vision, cooperative, communications based on ad-hoc robotics for rehabilitation, and brain-computer interfaces. The group participates in several European and national projects and is a international reference in Robotics research.
Reseachers
Permanent
Temporary
Research lines
Projects
Robotic remanufacturing of deformable industrial products
This project will seek to introduce the process of REMANUFACTURING as part of the business model associated with industries, highlighting the importance of design for the development of products that are more easily repaired and/or recycled.
Control de deformación de objetos flexibles con robots cooperativos en sectores de manufactura
Cooperative robot teams for deformable goods transport and monitoring of rural environments
Addresses the automatization and robotization of agricultural and livestock tasks, providing solutions for its monitoring and for the cooperative transport of goods in rural areas
Real-Time Mapping from Endoscopic Video
Mapping of regions of importance is fundamental to interact with the environment, from satellite maps of glaciers to functional maps for GPS navigators. Autonomous vehicles also work by matching visual data to an existing map which needs to be constantly updated and extended. Now,
EndoMapper is developing a similar mapping system to support endoscopic procedures like colonoscopy, tumour biopsy, or even targeted drug delivery. To accomplish their world-first, the team must tackle the challenge of modelling non-rigidity. Unlike roads and byways, the body's
tissues and organs are prone to change as the endoscope moves. Taking advantage of new non-rigid mathematical models and machine learning, endoscopy may soon enter the realm of augmented virtual reality and autonomous navigation.
EndoMapper is developing a similar mapping system to support endoscopic procedures like colonoscopy, tumour biopsy, or even targeted drug delivery. To accomplish their world-first, the team must tackle the challenge of modelling non-rigidity. Unlike roads and byways, the body's
tissues and organs are prone to change as the endoscope moves. Taking advantage of new non-rigid mathematical models and machine learning, endoscopy may soon enter the realm of augmented virtual reality and autonomous navigation.
Completed projects (since 2020)
| Project | End year |
|---|---|
| CoMManDIA |