Year: 2025
Type: article
Abstract: This article explores the training of embodied AI systems and robots through engagement with physical and social environments, drawing parallels with living organisms. We examine key challenges in developing embodied AI systems that learn through prediction, interaction and modification of their environments and discuss the societal implications.
Source: EMBO Reports
Authors: Giovanni Pezzulo, Thomas Parr, Karl J Friston
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $7,990
OpenAlex ID: W4413357097
