Artificial Intelligence for Autonomous Robots: 4th Edition

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Locomotion and Bioinspired Robotics".

Deadline for manuscript submissions: 20 April 2026 | Viewed by 693

Special Issue Editor

School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
Interests: computer science and engineering; info-communication technology; interactive digital media; machines & systems; robotics and intelligent systems
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Special Issue Information

Dear Colleagues,

We are living inside an ocean of signals. Our mental capabilities of transforming signals into knowledge enable us to gain autonomy and adaptation in a dynamically changing environment. Robots are living inside the same ocean of signals. Hence, it should be a research goal to discover or invent the physical principles behind transformations from sensory signals to knowledge, from one kind of knowledge into another kind of knowledge, and from knowledge back to control signals.

This Special Issue, titled ‘Artificial Intelligence for Autonomous Robots’, welcomes original research works which address the above-mentioned transformations under the contexts of various application scenarios such as autonomous robots for industry, agriculture, land transportation, maritime transportation, transportation in air, medical intervention, elderly cares, home cares, education, entertainment, general service, defense, etc.

Each submitted paper should clearly state the following: 1. Problems under investigation; 2. Existing works; 3. Better solutions; 4. Details of the proposed solutions; and 5. Experimental results.

I am looking forward to receiving the submissions of your wonderful research works that will advance ‘Artificial Intelligence and Autonomous Robots’.

Dr. Ming Xie
Guest Editor

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Keywords

  • vision-centric Intelligence and its applications to achieve robot’s autonomy
  • speech-centrici ntelligence and its applications to achieve robot’s autonomy
  • touch-centric intelligence and its applications to achieve robot’s autonomy
  • planning-centric intelligence and its applications to achieve robot’s autonomy
  • control-centric intelligence and its applications to achieve robot’s autonomy
  • data-centric intelligence and its applications to achieve robot’s autonomy
  • creativity-centric intelligence and its applications to achieve robot’s autonomy

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Published Papers (1 paper)

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Research

24 pages, 2564 KB  
Article
Biomimetic Digital Twin of Future Embodied Internet for Advancing Autonomous Vehicles and Robots
by Ming Xie and Xiaohui Wang
Biomimetics 2025, 10(11), 774; https://doi.org/10.3390/biomimetics10110774 - 14 Nov 2025
Viewed by 536
Abstract
Efficient coordination among software modules is essential for biomimetic robotic systems, much like the interaction among organs in a biological organism. However, implementing inter-process or inter-module communication in autonomous systems remains a complex and time-consuming task, particularly for new researchers. Simplifying inter-module communication [...] Read more.
Efficient coordination among software modules is essential for biomimetic robotic systems, much like the interaction among organs in a biological organism. However, implementing inter-process or inter-module communication in autonomous systems remains a complex and time-consuming task, particularly for new researchers. Simplifying inter-module communication is the central focus of this study. To address this challenge, we propose the DigitalTwinPort framework, a novel communication abstraction inspired by the port-based connectivity of embedded hardware systems. Unlike middleware-dependent solutions such as ROS, the proposed framework provides a lightweight, object-oriented structure that enables unified and scalable communication between software modules and networked devices. The concept is implemented in C++ and validated through an autonomous surface vehicle (ASV) developed for the RobotX Challenge. Results demonstrate that the DigitalTwinPort simplifies the development of distributed systems, reduces configuration overhead, and enhances synchronization between digital and physical components. This work lays the foundation for future digital twin architectures in embodied Internet systems, where software and hardware can interact seamlessly through standardized digital ports. Full article
(This article belongs to the Special Issue Artificial Intelligence for Autonomous Robots: 4th Edition)
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