Bio-Inspired Robotics and Applications 2025

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

Deadline for manuscript submissions: 15 November 2025 | Viewed by 372

Special Issue Editors


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Guest Editor
Advanced Robotics & Intelligent Systems (ARIS) Laboratory, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
Interests: intelligent systems; robotics; control systems; sensors and multi-sensor fusion; wireless sensor networks; intelligent communications; intelligent transportation; machine learning; computational neuroscience
Special Issues, Collections and Topics in MDPI journals
School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
Interests: robotic collectives; swarm robots; bio-inspired algorithms; human–robot collaborations
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biological inspiration provides the basis for many aspects of robotics. The resourceful methodologies of biological organisms have been incorporated into the development of many new methodologies, strategies, and algorithms for robotic systems. The novelty and significance of this new research have provided new knowledge to the respective research communities, which could potentially have many civilian and military applications.

The main goal of this Special Issue is to investigate the fundamental theories of bio-inspired robotics methodologies and to report their novel applications in the field of robotics, such as  real-time sensing and multi-sensor fusion, real-time intelligent navigation, the cooperation of multiple robotic systems, simultaneous localization and mapping (SLAM), real-time collision-free path planning, and the tracking and control of a robot.

This Special Issue invites original research and review articles that contribute new knowledge to their respective fields of study. It also aims to provide insights into biologically inspired methodologies that can be applied across various research areas and applications.

Prof. Dr. Simon X. Yang
Dr. Junfei Li
Guest Editors

Manuscript Submission Information

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Keywords

  • autonomous robotic systems
  • intelligent systems
  • bio-inspired intelligence
  • intelligent control systems
  • intelligent multi-sensor fusion
  • intelligent path planning and tracking
  • intelligent real-time navigation
  • intelligent coordination and cooperation
  • intelligent robot teleoperation

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Published Papers (1 paper)

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Research

14 pages, 7905 KiB  
Article
A Miniature Jumping Robot Using Froghopper’s Direction-Changing Concept
by Dong-Jun Lee and Gwang-Pil Jung
Biomimetics 2025, 10(5), 264; https://doi.org/10.3390/biomimetics10050264 - 24 Apr 2025
Viewed by 191
Abstract
To improve the maneuverability and agility of jumping robots, a variety of steerable jumping mechanisms have been actively studied. The steering ability enables a robot to reach a particular target by altering its jumping direction. To make this possible, we propose a miniature [...] Read more.
To improve the maneuverability and agility of jumping robots, a variety of steerable jumping mechanisms have been actively studied. The steering ability enables a robot to reach a particular target by altering its jumping direction. To make this possible, we propose a miniature steerable jumping robot based on froghopper’s jumping principle: Moment cancellation is achieved via synchronous leg rotation, and a predictable jumping direction is achieved through an almost zero stiffness femoro-tibial joint. To satisfy these working principles, the robot is designed to have a four-bar shaped body structure and wire-driven knee joints. The four-bar body always synchronizes the leg operation by mechanically coupling the two jumping legs, which enables the robot to cancel out the moments and finally reduce the needless body spin. The knee joints are actuated using wires, and the wires are kept loose to maintain joint stiffness almost zero during take-off. Accordingly, the jumping direction is successfully predicted to determine the initial posture of the tibia. As a result, the proposed robot can change the jumping direction from −20 degrees to 20 degrees while reducing needless body spin. Full article
(This article belongs to the Special Issue Bio-Inspired Robotics and Applications 2025)
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