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Related papers: Embodied, Situated, and Grounded Intelligence: Imp…

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This work reflects upon what Immersion can mean from the perspective of an Artificial Intelligence (AI). Applying the lens of immersive learning theory, it seeks to understand whether this new perspective supports ways for AI participation…

Neurons and Cognition · Quantitative Biology 2025-09-05 Leonel Morgado

People rely heavily on context to enrich meaning beyond what is literally said, enabling concise but effective communication. To interact successfully and naturally with people, user-facing artificial intelligence systems will require…

Computation and Language · Computer Science 2023-11-23 Daniel Fried , Nicholas Tomlin , Jennifer Hu , Roma Patel , Aida Nematzadeh

The research field of Embodied AI has witnessed substantial progress in visual navigation and exploration thanks to powerful simulating platforms and the availability of 3D data of indoor and photorealistic environments. These two factors…

Computer Vision and Pattern Recognition · Computer Science 2021-11-03 Roberto Bigazzi , Federico Landi , Marcella Cornia , Silvia Cascianelli , Lorenzo Baraldi , Rita Cucchiara

In this study, we analyze 2,398 research articles published between 2020 and 2024 across eight core venues related to the field of Artificial Intelligence in Education (AIED). Using a three-step knowledge co-occurrence network analysis, we…

Social and Information Networks · Computer Science 2025-06-27 Shihui Feng , Huilin Zhang , Dragan Gašević

As AI systems become embedded in everyday practice, value misalignment has emerged as a pressing concern. Yet, dominant alignment approaches remain model centric, treating users as passive recipients of prespecified values rather than as…

Human-Computer Interaction · Computer Science 2026-04-22 Anne Arzberger , Enrico Liscio , Maria Luce Lupetti , Inigo Martinez de Rituerto de Troya , Jie Yang

The prominence of embodied Artificial Intelligence (AI), which empowers robots to navigate, perceive, and engage within virtual environments, has attracted significant attention, owing to the remarkable advances in computer vision and large…

Robotics · Computer Science 2024-12-10 Miao Li , Wenhao Ding , Ding Zhao

Embodied systems, where generative autonomous agents engage with the physical world through integrated perception, cognition, action, and advanced reasoning powered by large language models (LLMs), hold immense potential for addressing…

Driven by breakthroughs in next-generation artificial intelligence, embodied intelligence is rapidly advancing into industrial manufacturing. In flexible manufacturing, industrial embodied intelligence faces three core challenges: accurate…

Robotics · Computer Science 2026-02-10 Kai Xu , Hang Zhao , Ruizhen Hu , Min Yang , Hao Liu , Hui Zhang , Haibin Yu

This paper explores the growing presence of emotionally responsive artificial intelligence through a critical and interdisciplinary lens. Bringing together the voices of early-career researchers from multiple fields, it explores how AI…

Artificial intelligence (AI) is about to touch every aspect of radiotherapy from consultation, treatment planning, quality assurance, therapy delivery, to outcomes modeling. There is an urgent need to train radiation oncologists and medical…

Summary of results (project period 1. 10. 2008 - 30. 9. 2009) of SNFS Project "From locomotion to cognition" The research that we have been involved in, and will continue to do, starts from the insight that in order to understand and design…

Robotics · Computer Science 2011-08-24 Matej Hoffmann , Juan Pablo Carbajal , Marc Ziegler

A few decades of work in the AI field have focused efforts on developing a new generation of systems which can acquire knowledge via interaction with the world. Yet, until very recently, most such attempts were underpinned by research which…

Artificial Intelligence · Computer Science 2012-07-23 Michał B. Paradowski

This study introduces a novel conceptual framework distinguishing problem-seeking from problem-solving to clarify the unique features of human intelligence in contrast to AI. Problem-seeking refers to the embodied, emotionally grounded…

Computers and Society · Computer Science 2025-06-02 Naomi Omeonga wa Kayembe

Human intelligence can remarkably adapt quickly to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by imitating the behavior of others or by following provided…

As artificial intelligence (AI) becomes increasingly integrated into daily life, higher education must move beyond code-centric instruction to foster holistic AI literacy. We present a novel pedagogical approach that integrates embodied,…

Computers and Society · Computer Science 2026-03-31 Jennifer M. Reddig , Scott Moon , Kaitlyn Crutcher , Christopher J. MacLellan

This paper presents a technical curriculum on language-oriented artificial intelligence (AI) in the language and translation (L&T) industry. The curriculum aims to foster domain-specific technical AI literacy among stakeholders in the…

Computation and Language · Computer Science 2026-02-13 Ralph Krüger

Robots excel in performing repetitive and precision-sensitive tasks in controlled environments such as warehouses and factories, but have not been yet extended to embodied AI agents providing assistance in household tasks. Inspired by the…

Artificial Intelligence · Computer Science 2022-06-15 Ziang Liu , Roberto Martín-Martín , Fei Xia , Jiajun Wu , Li Fei-Fei

Artificial intelligence (AI) is everywhere, with many children having increased exposure to AI technologies in daily life. We aimed to understand middle school girls' (a group often excluded group in tech) perceptions and knowledge gaps…

Human-Computer Interaction · Computer Science 2023-02-28 Jaemarie Solyst , Alexis Axon , Angela E. B. Stewart , Motahhare Eslami , Amy Ogan

Embodied intelligence is a key step towards Artificial General Intelligence (AGI), yet its development faces multiple challenges including data, frameworks, infrastructure, and evaluation systems. To address these issues, we have, for the…

Embodied AI research is increasingly moving beyond single-task, single-environment policy learning toward multi-task, multi-scene, and multi-model settings. This shift substantially increases the engineering overhead and development time…

Robotics · Computer Science 2026-04-16 Xueyang Zhou , Yihan Sun , Xijie Gong , Guiyao Tie , Pan Zhou , Lichao Sun , Yongchao Chen