Bioinspired Robotics: Toward Softer, Smarter and Safer

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 1169

Special Issue Editor


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Guest Editor
Department of Automatic Control, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania
Interests: robotics; visual serving; computer vision; assistive technologies; intelligent systems; bio-inspired actuators
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Special Issue Information

Dear Colleagues,

The upcoming Special Issue on Bioinspired Robotics: Toward Softer, Smarter and Safer aims to explore the cutting-edge advancements in the field, focusing on the development of robots that draw inspiration from nature to achieve softer, smarter, and safer designs. Human–machine interactions can be improved with the use of soft intelligent sensing designed with flexible electronics and processing, and fully symbiotic with soft movement.

By drawing inspiration from the diverse and ingenious mechanisms found in the natural world, researchers are pushing the boundaries of traditional robotics to create more adaptable, intelligent, and secure machines. Contributions from all fields related to the advances in soft bio-robots are welcomed to this Special Issue, including particularly, but not limited to, the following:

  • AI based applications for soft bio-robotics;
  • Design of soft robots;
  • Soft robots perception;
  • Evaluation of embodied artificial intelligence;
  • Biomimetic modelling;
  • Biomechanics and locomotion;
  • Bioinspired sensor technologies;
  • Human-soft robot interaction;
  • Soft bio-robotics for smart medical devices;
  • Synthesis and development of new materials for soft robotics.

Prof. Dr. Adrian Burlacu
Guest Editor

Manuscript Submission Information

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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. Robotics 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 1800 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

  • artificial intelligence for bioinspired robotics
  • biomimetics
  • bio-inspired actuators
  • design, modeling and control of soft bio-robotic systems
  • new materials for bioinspired robots
  • smart applications of bio-robots
  • soft robotic systems

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Published Papers (1 paper)

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Research

20 pages, 2474 KiB  
Article
A Numerical Integrator for Kinetostatic Folding of Protein Molecules Modeled as Robots with Hyper Degrees of Freedom
by Amal Kacem, Khalil Zbiss and Alireza Mohammadi
Robotics 2024, 13(10), 150; https://doi.org/10.3390/robotics13100150 - 2 Oct 2024
Viewed by 773
Abstract
The kinetostatic compliance method (KCM) models protein molecules as nanomechanisms consisting of numerous rigid peptide plane linkages. These linkages articulate with respect to each other through changes in the molecule dihedral angles, resulting in a kinematic mechanism with hyper degrees of freedom. Within [...] Read more.
The kinetostatic compliance method (KCM) models protein molecules as nanomechanisms consisting of numerous rigid peptide plane linkages. These linkages articulate with respect to each other through changes in the molecule dihedral angles, resulting in a kinematic mechanism with hyper degrees of freedom. Within the KCM framework, nonlinear interatomic forces drive protein folding by guiding the molecule’s dihedral angle vector towards its lowest energy state in a kinetostatic manner. This paper proposes a numerical integrator that is well suited to KCM-based protein folding and overcomes the limitations of traditional explicit Euler methods with fixed step size. Our proposed integration scheme is based on pseudo-transient continuation with an adaptive step size updating rule that can efficiently compute protein folding pathways, namely, the transient three-dimensional configurations of protein molecules during folding. Numerical simulations utilizing the KCM approach on protein backbones confirm the effectiveness of the proposed integrator. Full article
(This article belongs to the Special Issue Bioinspired Robotics: Toward Softer, Smarter and Safer)
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