21 papers · ranked by Valyu relevance
Yunwei Zhang, Jing Tian, Qiaochu Xiong
Embodied intelligent systems build upon the foundations of behavioral robotics and classical cognitive architectures. They integrate multimodal perception, world modeling, and adaptive control to support closed-loop interaction in dynamic and uncertain environments. Recent breakthroughs in Multimodal Large Models…
Zikai Zhao, Qiuxuan Wu, Jian Wang, Botao Zhang + 3 more
'Anton A. Zhilenkov' 'Jinyou Shao'] Soft robotics is closely related to embodied intelligence in the joint exploration of the means to achieve more natural and effective robotic behaviors via physical forms and intelligent interactions. Embodied intelligence emphasizes that intelligence is affected by the synergy of…
Wan Shu, Ying Zhou, Erhong Sun, Lei Deng + 2 more
Background Embodied intelligence-artificial intelligence instantiated in physical or virtual bodies that can perceive, communicate, and interact with users and their environments-has been increasingly applied in health care. However, the evidence base remains fragmented because of inconsistent terminology, diverse…
Salehi, Vahid
This work will elaborate the fundamental principles of physical artificial intelligence (Physical AI) from a scientific and systemic perspective. The aim is to create a theoretical foundation that describes the physical embodiment, sensory perception, ability to act, learning processes, and context sensitivity of…
Tongtong Feng, Xin Wang, Yu-Gang Jiang, Wenwu Zhu
—Embodied Artificial Intelligence (AI) is an intelligent system paradigm for achieving Artificial General Intelligence (AGI), serving as the cornerstone for various applications and driving the evolution from cyberspace to physical systems. Recent breakthroughs in Large Language Models (LLMs) and World Models (WMs)…
Gang Huang, Zhengyang Zhang, Songlin Zhuang, Yang Wu + 3 more
Advanced microscopy is a cornerstone of modern science, yet its potential is constrained by a reliance on manual operation, which struggles with the complexity and reproducibility of long-term experiments protocols. While scripting offers a degree of automation, it lacks the generalizability to adapt to new samples or…
Attà Negri, Marco Castiglioni, Cristina Liviana Caldiroli, Arianna Barazzetti
Cognitive science has gathered robust evidence supporting the hypothesis that cognitive processes do not occur in an amodal format but take shape through the activation of the sensorimotor systems of the agent body, which works as simulation system upon which concepts, words, and thought are based. However, studies…
Ali Jia, Ziwei Cai, Xiaoyuan Liu, Kechen Zheng + 2 more
With the rapid development of artificial intelligence technology, the transportation, industry, and healthcare fields are undergoing an intelligent evolution. These advancements have raised higher requirements for technologies such as mobile robots, wearable intelligent agents, self-driving cars, and unmanned aerial…
Matej Hoffmann, Rolf Pfeifer
In this paper1 , we will argue that if we want to understand the function of the brain (or the control in the case of robots), we must understand how the brain is embedded into the physical system, and how the organism interacts with the real world. While embodiment has often been used in its trivial meaning, i.e.…
Oliver Brock
| 1 | Introduction | | 2 | | --- | --- | --- | --- | | 2 | Argumentative Roadmap | | 3 | | 3 | Intelligences—Status Quo | | 4 | | | 3.1 Biological Intelligence | | 4 | | | 3.2 | Synthetic Intelligence | 5 | | | 3.2.1 | Computational Intelligence: | 5 | | | 3.2.2 | Physical Intelligence: | 5 | | | 3.2.3 | Neural…
Marwen Belkaid, Luiz Pessoa
Over the past decades, research in cognitive and affective neuroscience has emphasized that emotion is crucial for human intelligence and in fact inseparable from cognition. Concurrently, there has been growing interest in simulating and modeling emotion-related processes in robots and artificial agents. In this…
Louise Barrett, Dietrich Stout
This theme issue brings together researchers from diverse fields to assess the current status and future prospects of embodied cognition in the age of generative artificial intelligence. In this introduction, we first clarify our view of embodiment as a potentially unifying concept in the study of cognition…
Shawn L. Beaulieu, Sam Kriegman
Embodiment has recently enjoyed renewed consideration as a means to amplify the faculties of smart machines. Proponents of embodiment seem to imply that optimizing for movement in physical space promotes something more than the acquisition of niche capabilities for solving problems in physical space. However, there is…
Mario Senden, Judith Peters, Florian Röhrbein, Gustavo Deco + 1 more
The paradigm shift toward an action-oriented view (Engel et al., ) stresses that cognition permits meaningful interactions with a dynamic environment and cannot be reduced to thinking-related mental representations. Consequently, the emerging field of embodied neuroscience has been inspired by recent achievements in…
Xinran Feng, Shan Xu, Yuannan Li, Jia Liu
The physical body of an organism serves as a vital interface for interactions with its environment. Here we investigated the impact of human body size on the perception of action possibilities (affordances) offered by the environment. We found that the body size delineated a distinct boundary on affordances, dividing…
Suketu C. Patel, Jin Fan
The assertion that artificial intelligence (AI) cannot grasp the subtleties and complexities of human emotions has been a long-standing debate in AI research. However, recent advancements, particularly in large language models (LLMs), have begun challenging this notion by demonstrating an increased capacity for…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Anthony M. Zador
Over the last decade, artificial neural networks (ANNs), have undergone a revolution, catalyzed in large part by better tools for supervised learning. However, training such networks requires enormous data sets of labeled examples, whereas young animals (including humans) typically learn with few or no labeled…
Aslan S Dizaji, Mohammad-Reza Khodaei, Hamid Soltanian-Zadeh
Natural intelligence is one of the vastly explored research areas in cognitive science. Its evolution and manifestation through behavioral patterns in animal kingdom have been extensively investigated. Since early days of cognitive sciences, there have been considerable efforts to simulate intelligent behaviors through…
Authors not listed
Artificial intelligence (AI) is poised to transform heterogeneous catalysis, ushering in a new paradigm for catalytic materials discovery. By uncovering intricate patterns in high-dimensional data, AI has been reshaping our pursuit of sustainable catalytic processes across the energy, environmental, and chemical…