Work

Embodied AI: A Foundation for Intelligent and Autonomous Manufacturing

Year: 2025

Type: article

Abstract: Embodied artificial intelligence (AI) represents a paradigm shift in the design and construction of intelligent physical systems, where emphasis is placed on the integration of physical interaction and situational awareness of such systems to facilitate adaptive decision-making. This embodiment is realized through an interplay of sensing, control, and actuation, where AI not only interprets data but directly interacts with physical processes. Enabled by advances in deep learning (DL), sensing technologies, and computational infrastructure, embodied AI systems permit new avenues for a broad range of manufacturing applications by building upon a series of transformative capabilities that span semantic data inference, learning-based control, and generative optimization of actuation hardware design. This paper presents an overview of recent advances to enable embodied AI for manufacturing and outlines promising research directions.

Source: Engineering

DOI: 10.1016/j.eng.2025.12.026

Authors: Jianjing Zhang, Lihui Wang, Robert X. Gao

Institutions: Case Western Reserve University, KTH Royal Institute of Technology

Language: English

Topic: Robot Manipulation and Learning

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,300