Advanced Intelligent Systems and Biomimetics

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Biomimetic Design, Constructions and Devices".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 865

Special Issue Editor


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Guest Editor
Department of Electric and Control Engineering, Mokpo National University, Mokpo, Republic of Korea
Interests: bioinspired intelligence; biomimetics; intelligent robotics; intelligent system; biomimetic sensor system;
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Special Issue Information

Dear Colleagues,

This Special Issue, entitled “Advanced Intelligent Systems and Biomimetics”, aims to explore the interdisciplinary convergence of advanced intelligent technologies with nature-inspired design principles. Advanced intelligent systems cover diverse fields such as artificial intelligence, agentic AI, generative models, foundation and multimodal models, machine learning, neural networks, cognitive modeling, fuzzy logic, evolutionary algorithms, intelligent control, robotics, autonomous vehicles, embodied AI, neuromorphic computing, quantum computing, data mining, and AI governance. These systems increasingly adopt biomimetic approaches to enhance adaptability, resilience, autonomy, and efficiency—characteristics that are commonly found in nature. Bioinspired neural architectures, biomimetic robotics, vision systems modeled on biological eyes, fuzzy reasoning based on human cognition, and adaptive materials exemplify this synergy. In particular, the integration of bioinspired sensor systems, biomimetic robotic systems, automation systems, and applications in agriculture, healthcare, and sustainable manufacturing are gaining momentum. This Special Issue welcomes contributions that apply biomimetic concepts to intelligent systems or use intelligent technologies to model or replicate biological systems. The scope of this Special Issue includes bioinspired AI, evolutionary computation, neuro-fuzzy systems, cognitive architectures, nature-inspired robotics and materials, intelligent transportation, medical intelligence, agricultural automation, and ethical innovation in AI. We welcome multidisciplinary research that traverses biology, computer science, engineering, and design.

Dr. Young-Jae Ryoo
Guest Editor

Manuscript Submission Information

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Keywords

  • bioinspired neural architectures
  • biomimetic robotics
  • intellignet sensor systems modeled on biologics
  • fuzzy reasoning based on human cognition
  • bioinspired sensor systems
  • biomimetic automation systems
  • applications in agriculture, healthcare, and sustainable manufacturing

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Published Papers (1 paper)

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Research

23 pages, 3554 KB  
Article
Multi-Sensor Fusion Framework for Reliable Localization and Trajectory Tracking of Mobile Robot by Integrating UWB, Odometry, and AHRS
by Quoc-Khai Tran and Young-Jae Ryoo
Biomimetics 2025, 10(7), 478; https://doi.org/10.3390/biomimetics10070478 - 21 Jul 2025
Viewed by 751
Abstract
This paper presents a multi-sensor fusion framework for the accurate indoor localization and trajectory tracking of a differential-drive mobile robot. The proposed system integrates Ultra-Wideband (UWB) trilateration, wheel odometry, and Attitude and Heading Reference System (AHRS) data using a Kalman filter. This fusion [...] Read more.
This paper presents a multi-sensor fusion framework for the accurate indoor localization and trajectory tracking of a differential-drive mobile robot. The proposed system integrates Ultra-Wideband (UWB) trilateration, wheel odometry, and Attitude and Heading Reference System (AHRS) data using a Kalman filter. This fusion approach reduces the impact of noisy and inaccurate UWB measurements while correcting odometry drift. The system combines raw UWB distance measurements with wheel encoder readings and heading information from an AHRS to improve robustness and positioning accuracy. Experimental validation was conducted through repeated closed-loop trajectory trials. The results demonstrate that the proposed method significantly outperforms UWB-only localization, yielding reduced noise, enhanced consistency, and lower Dynamic Time Warping (DTW) distances across repetitions. The findings confirm the system’s effectiveness and suitability for real-time mobile robot navigation in indoor environments. Full article
(This article belongs to the Special Issue Advanced Intelligent Systems and Biomimetics)
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