Institute for Artificial Intelligence and Autonomous Systems (A2S)
1st place for Natalia Quiroga Perez at the AFCEA Bonn e.V. study award ceremony
In her master's thesis entitled Experience-Based Path Planning Framework for Real-Time Learning from Demonstration, Quiroga Perez developed a robotics-independent system for learning upper body movements from human demonstrations and their subsequent execution by a robot, specifically using skeletal data, as part of the Master Autonomous Systems programme at H-BRS. The aim was to enable end users, such as therapists, to adapt the behaviour of a robot by demonstrating new movements.
The interdisciplinary project combines approaches from cognitive robotics, machine learning and computer science. To enable the learning process for robots, three main stages were carried out: Offline learning, online learning of movements and movement execution.
The method was tested at the A2S Institute on the three robots QTrobot, NAO and Freddy . The video shows the execution of various dance movements by the robots:
Dancing Robots
As part of the MigrAVE project, which aims to develop a robotic assistant to support children with autism spectrum disorders, Quiroga Perez's master's thesis has made an important contribution to personalised robotics in therapeutic applications. The thesis was completed within the ZAT Rhein-Ruhr project and supervised by Prof Teena Chakkalayil Hassan, Prof Paul Plöger and Dr Alex Mitrevski.
Through this innovative approach, the work demonstrates the potential of interdisciplinary research and opens up new perspectives for the use of robotics in social and medical contexts.
At the AFCEA Student Award ceremony during the IT conference in Koblenz, Hassan personally congratulated the winner on her outstanding success and recognised her impressive achievement in the field of robotics research. The university joins in the congratulations and wishes Quiroga Perez continued success in her scientific endeavours.
Contact:
Location
Location
Sankt Augustin
Room
C 201
Address
Grantham-Allee 20
53757 Sankt Augustin
Telephone
+49 2241 865Location
Sankt Augustin
Room
C 216
Address
Grantham-Allee 20
53757 Sankt Augustin
Telephone
+49 2241 865 9608Professor im Ruhestand / retired professor Dr. Paul G. Plöger
Autonomous Systems
Location
Sankt Augustin
Address
Grantham-Allee 20
53757, Sankt Augustin
Alex Mitrevski
Lecturer, Institute for AI and Autonomous Systems (A2S)
Location
Sankt Augustin
Room
C203
Address
Grantham-Allee 20
53757, Sankt Augustin
Telephone
+492241 865206