Prof. Richard J. Duro
Grupo Integrado de Ingeniería
Centro de Investigación en Tecnologías de la Inforamación y las Comunicaciones (CITIC).
Universidade da Coruña, Spain.
Abstract.
Lifelong Open-ended Learning Autonomy (LOLA) refers to the fact that a robot must be able to operate and learn in domains that are unknown at design time as well as reuse knowledge learnt in one domain to facilitate learning in others throughout its lifetime. Achieving LOLA goes beyond specific learning algorithms and puts us squarely in the realm of cognitive architectures. However, most cognitive architectures were not built to address the LOLA problem, and thus, lack components and capabilities that would be required. This talk will present an overview of the problems involved and possible ways to address them. It will include some examples over real robots operating in real domains.
Richard J. Duro is a Full Professor of Computer Science and Artificial Intelligence at the University of Coruña in Spain and the Coordinator of the Integrated Group for Engineering Research at this university since 1999. His teaching and research interests are in intelligent systems and autonomous robotics and his current work concentrates on motivational systems and developmental cognitive robotic architectures. He is now involved in several projects related to autonomous robotics including the PILLAR-Robots Horizon project, which he coordinates.
Extended Abstract Submission:
15 May 2023
01 June 2023
Notification of Extended Abstract Acceptance:
05 June 2023
16 June 2023
Camera Ready Papers:
01 July 2023
09 July 2023