Robot Benchmarking and Competitions

This course provides students with a foundation in robotic skill development in vision control, motion, and behavior programming to integrate Artificial Intelligent techniques with Robotics.

It covers benchmarking robotic systems and introduces semantic reasoning using ontologies and knowledge graphs, enabling robots to understand and interact with their surroundings.

 It covers techniques for image and scene interpretation, as well as 3D scene reconstruction for practical robotic applications. 

Through hands-on projects, students will apply these concepts to design and implement robotic systems, inspired by real robotic applications or competitions.

CFUs

The course gives 3 CFU and is a section of

Elective in Artificial Intelligence

given within

Master in Artificial Intelligence and Robotics

Teacher

Schedule

Lecture