There has been an emerging paradigm shift from the era of “internet AI” to “embodied AI,”
where AI algorithms and agents no longer learn from datasets of images, videos or text …

Vision-and-Language Navigation (VLN) has gained increasing attention over recent years
and many approaches have emerged to advance their development. The remarkable …

Interoception is an often neglected but crucial aspect of the human minimal self. In this
perspective, we extend the embodiment account of interoceptive inference to explain the …

Soft robots are typically approximated as low-dimensional systems, especially when
learning-based methods are used. This leads to models that are limited in their capability to …

Human language is inherently embodied and grounded in sensorimotor representations of
the self and the world around it. This suggests that the body schema and ideomotor action …

When leaving the aquatic constrained environment of the womb, newborns are thrown into
the world with essentially new laws and regularities that govern their interactions with the …

Within the methodologically diverse interdisciplinary research on the minimal self, we
identify two movements with seemingly disparate research agendas–cognitive science and …

The notion that self-disorders are at the root of the emergence of schizophrenia rather than a
symptom of the disease, is getting more traction in the cognitive sciences. This is in line with …

Biological agents are context-dependent systems that exhibit behavioral flexibility. The
internal and external information agents process, their actions, and emotions are all …

Due to their dependence on a task-specific reward function, reinforcement learning agents
are ineffective at responding to a dynamic goal or environment. This paper seeks to …