Intelligent Soft Matter: Towards Embodied Intelligence
Vladimir A. Baulin, Achille Giacometti, Dmitry Fedosov, Stephen Ebbens, Nydia R. Varela-Rosales, Neus Feliu, Mithun Chowdhury, Minghan Hu, Rudolf F\"uchslin, Marjolein Dijkstra, Matan Mussel, Ren\'e van Roij, Dong Xie, Vassil Tzanov, Mengjie Zu, Samuel Hidalgo-Caballero, Ye Yuan

TL;DR
This paper explores the emerging field of intelligent soft matter, which aims to develop materials with life-like cognitive capabilities such as perception, learning, and adaptive behavior, inspired by biological systems.
Contribution
It provides a comprehensive overview of current research, future directions, and challenges in creating intrinsically intelligent soft materials with integrated sensing, memory, and decision-making.
Findings
Identifies key properties of soft matter for intelligence
Proposes design pathways for embedded sensing and memory
Discusses challenges in practical implementation
Abstract
Intelligent soft matter stands at the intersection of materials science, physics, and cognitive science, promising to change how we design and interact with materials. This transformative field seeks to create materials that possess life-like capabilities, such as perception, learning, memory, and adaptive behavior. Unlike traditional materials, which typically perform static or predefined functions, intelligent soft matter dynamically interacts with its environment. It integrates multiple sensory inputs, retains experiences, and makes decisions to optimize its responses. Inspired by biological systems, these materials intend to leverage the inherent properties of soft matter: flexibility, self-evolving, and responsiveness to perform functions that mimic cognitive processes. By synthesizing current research trends and projecting their evolution, we present a forward-looking perspective…
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Taxonomy
TopicsAdvanced Materials and Mechanics · Modular Robots and Swarm Intelligence
