Year: 2025
Type: conference-paper
Abstract: This paper proposes a structural simulation environment for cognitive systems that effectively models both bottom-up emergent needs derived from sensory data and top-down task specifications for actuator control. The proposed simulation structure is both scalable and explainable; needs emerge concurrently. The tasks triggered to fulfil these needs follow a hierarchical top-down approach. Experimental results demonstrate that the simulation environment accurately models the hunger and play needs of a fully autonomous pet robot, all within the overall goal of the robot’s survival.
Authors: Teemu Saukkio, Juha Plosila, Hashem Haghbayan
Institution: University of Turku
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4412803600