23 papers · ranked by Valyu relevance
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)…
Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl
We propose Embodied AI (E-AI) as the next fundamental step in the pursuit of Artificial General Intelligence (AGI), juxtaposing it against current AI advancements, particularly Large Language Models (LLMs). We traverse the evolution of the embodiment concept across diverse fields (philosophy, psychology, neuroscience…
Zhaohan Feng, Ruiqi Xue, Lei Yuan, Yang Yu + 6 more
'Bingzhao Gao' 'Jian Sun' 'Xinhu Zheng' 'Gang Wang'] Embodied artificial intelligence (Embodied AI) plays a pivotal role in the application of advanced technologies in the intelligent era, where AI systems are integrated with physical bodies that enable them to perceive, reason, and interact with their environments.…
Luisa Damiano, Pasquale Stano
Embodied Artificial Intelligence (EAI) is a contemporary direction of AI characterized by developing its synthetic study of natural cognitive processes based on the assumption that the cognizer’s body plays a decisive role in cognition. In EAI the notion of “body” presents a wide range of interpretations, which…
Giulio Sandini, Alessandra Sciutti, Pietro Morasso
The conception of autonomous, intelligent, collaborative robots has been the subject of science fiction rather than science in the second half of the previous century, with practical applications limited to industrial machines without any level of autonomous, intelligent, and collaborative capacity. The new century is…
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…
Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
'Hamid R. Arabnia'] A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem…
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…
Matej Hoffmann, Shubhan Parag Patni
Embodied Artificial Intelligence (Embodied AI) is gaining momentum in the machine learning communities with the goal of leveraging current progress in AI (deep learning, transformers, large language and visual-language models) to empower robots. In this chapter we put this work in the context of "Good Old-Fashioned…
Poramate Manoonpong, Shunsuke Shigaki, Ronnapee Chaichaowarat, Mikhail Shamonin
Physical Artificial Intelligence (AI) is an emerging interdisciplinary field that not only integrates AI and robotics but also considers dynamic interactions with the environment. It seeks to develop intelligent systems capable of adapting and interacting with complex and dynamic environments. Central to this field is…
Sarah Hamburg, Alejandro Jimenez Rodriguez, Aung Htet, Alessandro Di Nuovo + 1 more
'Alessandro Di Nuovo' 'Alessandro Giuliani'] Taking inspiration from humans can help catalyse embodied AI solutions for important real-world applications. Current human-inspired tools include neuromorphic systems and the developmental approach to learning. However, this developmental neurorobotics approach is currently…
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…
Nivedita Gangopadhyay, Alois Pichler
We are agents and our agency is often best characterized in terms of embodied cognition. However, this is not to deny that there are cognitively significant ways of agentive engagement with the world that may be described without referring to our embodiment. In this paper we shall focus on the interplay between…
Mia-Katrin Kvalsund, Kai Olav Ellefsen, Kyrre Glette, Sidney Pontes-Filho + 1 more
The brain’s distributed architecture has inspired numerous artificial intelligence (AI) systems, particularly through its neocortical organization. However, current AI approaches largely over-look a crucial aspect of biological intelligence: active sensing – the deliberate movement of sensory organs to explore the…
Le Cong, David Smerkous, Xiaotong Wang, Di Yin + 29 more
Modern science advances fastest when thought meets action. LabOS represents the first AI co-scientist that unites computational reasoning with physical experimentation through multimodal perception, self-evolving agents, and XR-enabled, embodied human-AI collaboration. To empower agentic AI with embodied intelligence…
Ren Liu, Zhaolin Ren, Xinhe Zhang, Qiang Li + 6 more
Recent advancements in flexible bioelectronics have enabled continuous, long-term stable interrogation and intervention of biological systems. However, effectively utilizing the interrogated data to modulate biological systems to achieve specific biomedical and biological goals remains a challenge. In this study, we…
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…
Marcel van Gerven
New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong…
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Agentic artificial intelligence (AI) is poised to redefine how science is conducted, automating not just data analysis but the entire research lifecycle, from hypothesis generation to validation. Yet most current AI agents remain domain-bound, tailored to specific applications such as materials synthesis or quantum…
Dae-Gun Kim, Anna Shin, Yong-Cheol Jeong, Seahyung Park + 1 more
Artificial intelligence (AI) is an emerging tool for high-resolution behavioural analysis and conduction of human-free behavioural experiments. Here, we applied an AI-based system, AVATAR, which automatically virtualises 3D motions from the detection of 9 body parts. This allows quantification, classification and…
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This article proposes a three-level classification of artificial intelligence (AI) application in chemical sciences, reflecting the increasing degree of technology involvement in scientific and production processes: from automation of routine tasks (the level of "AI Assistant"), to the creation of specialized…
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Artificial intelligence (AI) is reshaping chemical engineering. Still, its role in safety-critical operations is limited because we rarely see tools that link physical models with data-driven methods. This study brings together three elements: physics-constrained neural networks, uncertainty quantification, and a…
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As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…