Embodied artificial intelligence as a paradigm shift for human–robot collaboration

View at publisher
Authors: Junfei Li, Simon X. Yang
Cited by: 1

Abstract

Human–robot collaboration (HRC) has traditionally relied on instruction-driven paradigms in which humans specify goals and robots execute predefined tasks. Recent advances in embodied artificial intelligence (Embodied AI) challenge this model by grounding intelligence in physical embodiment and continuous interaction with the environment. This editorial positions Embodied AI as a paradigm shift in HRC, redefining collaboration as a physically interactive and mutually adaptive process. It examines the key challenges introduced by this shift and outlines emerging directions for future embodied HRC.

Fields of Study & Subjects

Action Observation and Synchronization Social Robot Interaction and HRI Embodied and Extended Cognition

Publication details

Journal / source
Intelligence & Robotics
Publisher
OAE Publishing Inc.
Volume
6
Issue
1
Pages
97–100
Publication date
1 January 2026