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Biomimetics
Special Issues
Biomimetic Aspects of Human–Computer Interactions
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Biomimetic Aspects of Human–Computer Interactions

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Bioinspired Sensorics, Information Processing and Control".

Deadline for manuscript submissions: 15 September 2024 | Viewed by 2044

Special Issue Editor

Dr. Hang Su

E-Mail Website
Guest Editor
IBISC Laboratory, Paris-Saclay University, Paris, France
Interests: robotics; human-robot interaction; deep learning; bilateral teleoperation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The biomimetic paradigm is shaping a pivotal revolution in Human–computer Interaction (HCI), especially when intersected with advanced disciplines like robotics, mechatronics, and cyborg intelligence.

This Special Issue primarily focuses on the biomimetic aspects that are driving innovations in HCI. It aims to explore how natural systems inspire advanced modeling, sensory perception, adaptive control, and decision-making mechanisms in robotics and mechatronics. Furthermore, it will delve into how these biomimetic principles can elevate the adaptiveness and autonomy of systems, including those in the realm of cyborg intelligence.

Potential Topics Include, but are not limited to:

  • Biomimetic Sensors;
  • Perception Systems in Robotics and Mechatronics;
  • AI Algorithms Inspired by Natural Cognitive Processes in Cyborg Intelligence;
  • Biomimetic Multimodal Interactive Interface;
  • Biomimetic Control Algorithms for Adaptive and Autonomous Systems;
  • Data-driven Biomimetic Models in Kinematics and Dynamics;
  • Ethical Considerations in Biomimetic HCI and Cyborg Intelligence;
  • Human-Centered Biomimetic Systems for Enhanced Adaptability and Robustness;
  • VR/AR Simulators with Biomimetic Elements for Robotics and Mechatronics. 

Dr. Hang Su
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomimetics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • biomimetic aspects
  • human-computer interaction

Published Papers (2 papers)

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Research

16 pages, 2382 KiB  
Article
Bilateral Elimination Rule-Based Finite Class Bayesian Inference System for Circular and Linear Walking Prediction
by Wentao Sheng, Tianyu Gao, Keyao Liang and Yumo Wang
Biomimetics 2024, 9(5), 266; https://doi.org/10.3390/biomimetics9050266 - 27 Apr 2024
Viewed by 492
Abstract
Objective: The prediction of upcoming circular walking during linear walking is important for the usability and safety of the interaction between a lower limb assistive device and the wearer. This study aims to build a bilateral elimination rule-based finite class Bayesian inference system [...] Read more.
Objective: The prediction of upcoming circular walking during linear walking is important for the usability and safety of the interaction between a lower limb assistive device and the wearer. This study aims to build a bilateral elimination rule-based finite class Bayesian inference system (BER-FC-BesIS) with the ability to predict the transition between circular walking and linear walking using inertial measurement units. Methods: Bilateral motion data of the human body were used to improve the recognition and prediction accuracy of BER-FC-BesIS. Results: The mean predicted time of BER-FC-BesIS in predicting the left and right lower limbs’ upcoming steady walking activities is 119.32 ± 9.71 ms and 113.75 ± 11.83 ms, respectively. The mean time differences between the predicted time and the real time of BER-FC-BesIS in the left and right lower limbs’ prediction are 14.22 ± 3.74 ms and 13.59 ± 4.92 ms, respectively. The prediction accuracy of BER-FC-BesIS is 93.98%. Conclusion: Upcoming steady walking activities (e.g., linear walking and circular walking) can be accurately predicted by BER-FC-BesIS innovatively. Significance: This study could be helpful and instructional to improve the lower limb assistive devices’ capabilities of walking activity prediction with emphasis on non-linear walking activities in daily living. Full article
(This article belongs to the Special Issue Biomimetic Aspects of Human–Computer Interactions)
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17 pages, 1122 KiB  
Article
Biomimetic Adaptive Pure Pursuit Control for Robot Path Tracking Inspired by Natural Motion Constraints
by Suna Zhao, Guangxin Zhao, Yan He, Zhihua Diao, Zhendong He, Yingxue Cui, Liying Jiang, Yongpeng Shen and Chao Cheng
Biomimetics 2024, 9(1), 41; https://doi.org/10.3390/biomimetics9010041 - 9 Jan 2024
Cited by 1 | Viewed by 1278
Abstract
The essence of biomimetics in human–computer interaction (HCI) is the inspiration derived from natural systems to drive innovations in modern-day technologies. With this in mind, this paper introduces a biomimetic adaptive pure pursuit (A-PP) algorithm tailored for the four-wheel differential drive robot (FWDDR). [...] Read more.
The essence of biomimetics in human–computer interaction (HCI) is the inspiration derived from natural systems to drive innovations in modern-day technologies. With this in mind, this paper introduces a biomimetic adaptive pure pursuit (A-PP) algorithm tailored for the four-wheel differential drive robot (FWDDR). Drawing inspiration from the intricate natural motions subjected to constraints, the FWDDR’s kinematic model mirrors non-holonomic constraints found in biological entities. Recognizing the limitations of traditional pure pursuit (PP) algorithms, which often mimic a static behavioral approach, our proposed A-PP algorithm infuses adaptive techniques observed in nature. Integrated with a quadratic polynomial, this algorithm introduces adaptability in both lateral and longitudinal dimensions. Experimental validations demonstrate that our biomimetically inspired A-PP approach achieves superior path-following accuracy, mirroring the efficiency and fluidity seen in natural organisms. Full article
(This article belongs to the Special Issue Biomimetic Aspects of Human–Computer Interactions)
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