Robodiment, Self and Temporality:Phenomenological Insights for Cognitive Architectures in Robotics
Minds and Machines November 11, 2025 Sara Incao, Alessandra Sciutti, Shaun Gallagher 2 citations
Human experience of self and time is not just about memory; it is a continuous, prereflective structure that underpins perception, intention, and action. Drawing on Husserl's phenomenology and predictive processing, this article argues that this intrinsic temporality—the retentional-protentional dynamic—can be adapted to improve cognitive architectures for humanoid robots. By modeling this temporal continuity, robots could gain greater context-awareness and autonomy, moving beyond simple memory to a more fluid sense of self and identity over time.