An Autonomous Drive Balancing Strategy for the Design of Purpose in Open-ended Learning Robots

Romero, AlejandroBellas, FranciscoDuro, Richard J.2026-02-052026-02-052021Alejandro Romero, Francisco Bellas and Richard J. Duro. 2021. An Autonomous Drive Balancing Strategy for the Design of Purpose in Openended Learning Robots: Extended Abstract. In Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), Online, May 3–7, 2021. IFAAMAS, 3 pages.978-1-4503-8307-32523-5699https://hdl.handle.net/2183/47251[Abstract] This paper is concerned with designing purpose in autonomous robots for open-ended learning settings. Unconstrained human robot interaction situations and robotic systems that must operate in dynamic multi-robot scenarios are paradigmatic examples of open-endedness. An approach to the appropriate design and engineering of motivational structures to endow robots with a particular purpose is proposed and tested. This approach focuses on the drive structure and how it can be made to autonomously adapt to changing circumstances. Specifically, a simple evolutionary strategy for the autonomous regulation of multiple drives in order to optimize long-term operation is defined. The experimental results have been obtained on a Baxter robot facing changing situations in real setups.engCopyright © 2021 por la International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). Se concede permiso para realizar copias digitales o impresas de partes de esta obra para uso personal o en el aula, siempre que no se hagan ni distribuyan copias con fines lucrativos o beneficio comercial y que las copias lleven este aviso y la cita completa en la primera página. Se deben respetar los derechos de autor de componentes de esta obra que pertenecen a otros que no sean IFAAMAS. Se permite extraer con crédito. Para copiar de otra manera, para republicar, publicar en servidores o redistribuir en listas, requiere permiso específico previo y/o una tarifa.Open-ended learningAutonomous roboticsMotivationHuman robot interactionAn Autonomous Drive Balancing Strategy for the Design of Purpose in Open-ended Learning Robotsconference outputopen accesshttps://doi.org/10.65109/myjk6059