Scope
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The rapid proliferation of Internet of Things (IoT) devices and the exponential growth of digital information have transformed various domains, including healthcare, transportation, finance, and smart cities. However, the integration of IoT systems presents significant challenges in managing, processing, and interpreting the vast and diverse data they generate, with traditional methods often struggling to meet the scale, heterogeneity, and real-time demands of IoT environments. A promising solution lies in the integration of Embodied Intelligence with IoT systems, which enhances IoT’s ability to autonomously process and interpret data through adaptive, sensory-motor interactions, enabling intelligent decision-making and optimized resource allocation. By leveraging advanced intelligent computation techniques such as machine learning, multi-agent systems, and distributed computing, IoT environments can become more autonomous, context-aware, and capable of real-time decision-making. This special issue will explore how the fusion of embodied intelligence and IoT, within the framework of intelligent computation, can address the challenges of complex information integration, resource management, and adaptive decision-making in IoT ecosystems.


Topics of Interest
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This special issue provides a platform for researchers, engineers, and practitioners to present their latest advancements in intelligent computation for embodied intelligence and IoT integration. We invite contributions that focus on novel computing paradigms, AI-based technologies, and intelligent systems designed to enhance IoT performance through embodied intelligence. Topics of interest include, but are not limited to:

Embodied Intelligence and IoT Integration Frameworks
Intelligent computational models and algorithms for integrating embodied intelligence with IoT devices.
Sensory-motor interactions in IoT systems for dynamic environment adaptation and data processing.
Hybrid models combining embodied intelligence and IoT to enable distributed intelligence and autonomous decision-making.
AI-Based Intelligent Computation for IoT Systems
AI and machine learning techniques for enhancing the autonomous operation of IoT devices through embodied intelligence.
Real-time data processing, resource allocation, and decision-making frameworks in IoT systems with embodied intelligence.
Adaptive learning systems for optimizing the performance of IoT networks and devices in changing environments.
Edge and Cloud Computing for Embodied IoT Systems
Integration of edge computing with embodied intelligence for efficient data processing and low-latency decision-making in IoT environments.
Distributed intelligent systems that combine edge computing, embodied intelligence, and IoT to enable scalable and efficient solutions.
Collaborative decision-making and resource sharing among IoT devices and edge nodes based on embodied intelligence principles.
Domain-Specific Applications of Embodied Intelligence and IoT
Smart healthcare applications, such as personalized medicine, integrate embodied intelligence with IoT for real-time health monitoring and decision-making.
Intelligent transportation systems where IoT devices and embodied intelligence collaboratively enhance traffic management and dynamic route planning.
Smart cities and environmental monitoring, where IoT networks supported by embodied intelligence improve energy efficiency, sustainability, and urban planning.


Guest Editors
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Xingsi Xue, Fujian University of Technology, China
Jeng-Shyang Pan, Nanjing University of Information Science and Technology, China
Pei-Wei Tsai, Swinburne University of Technology, Australia


Submission Instructions
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Please indicate in your cover letter that your submission is intended for inclusion in this special issue. Submissions to this special issue will undergo a rigorous peer-review process, ensuring high-quality and impactful contributions. We welcome original research articles, comprehensive reviews, and technical reports that align with the themes of the special issue. Authors are encouraged to visit the journal’s Information for Authors page for detailed submission guidelines.

Submission Deadline: October 18, 2025