Bioinspired Cross-Medium Aquatic Robots

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

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 3517

Special Issue Editors

Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511400, China
Interests: bioinspired robots; soft robotics
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Co-Guest Editor
School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China
Interests: fluid structure interaction; aerodynamics; computational fluid dynamics; numerical simulation; turbulence

Special Issue Information

Dear Colleagues,

In complex underwater environments, traditional underwater robots propelled by screw propellers are limited in operation, but scientists and engineers have been inspired by the movements and lives of aquatic animals. Through the research and imitation of aquatic animals, many bionic robots have been developed. Due to their characteristics of low noise, high maneuverability, and high biological affinity, these robots have broad development potential.

Although most aquatic animals can only survive in an underwater environment, some of them can still perform cross-medium activities, such as turtles, salamanders, flying fish, and so on. If this feature is imitated in robots through bionic technology, the scope of applications for aquatic robots will be greatly expanded. Because of its high value and great interest, this field has gradually become a research hotspot in recent years.

Even though scientists have made many breakthroughs in the field of bionic technology, given the long evolution of aquatic animals, the gaps between the performance of biomimetic aquatic robots and real animals are still very obvious, especially in the aspects of motion, perception, and decision-making. To improve the overall performance of biomimetic aquatic robots, more in-depth studies are needed in the fields of structure design, simulation evolution, motion control, sensor fusion,  path planning, and intelligence.

The purpose of this Special Issue is to gather the research progress of biomimetic aquatic robots in different laboratories. The focus is not limited to underwater biomimetic robots, but also includes those biomimetic robots that can move in different media, such as water–land and water–air.

Topics of interest include (but are not limited to):

  • Design and modeling of novel bionic aquatic robots;
  • Amphibious robots;
  • Intelligent control algorithms;
  • Navigation and path planning strategies;
  • Underwater and cross-medium (water–air) communication technology;
  • Robot formation strategy and cluster control technology;
  • Underwater sensor design and multi-sensor signal fusion;
  • Experimental investigations on motion performance of bionic aquatic robots;
  • Computational fluid dynamics simulation analysis of bionic aquatic robots.

Dr. Yong Zhong
Dr. Jialei Song
Guest Editors

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. 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

  • biomimetics
  • multi-medium
  • aquatic Robots
  • soft robotics
  • motion control
  • multi-agent
  • sensor fusion
  • underwater communication
  • computational fluid dynamics
  • path planning
  • hydrodynamic experiment

Published Papers (2 papers)

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Research

17 pages, 5367 KiB  
Article
An Untethered Soft Robotic Dog Standing and Fast Trotting with Jointless and Resilient Soft Legs
by Yunquan Li, Yujia Li, Tao Ren, Jiutian Xia, Hao Liu, Changchun Wu, Senyuan Lin and Yonghua Chen
Biomimetics 2023, 8(8), 596; https://doi.org/10.3390/biomimetics8080596 - 8 Dec 2023
Cited by 1 | Viewed by 1837
Abstract
Soft robots are compliant, impact resistant, and relatively safe in comparison to hard robots. However, the development of untethered soft robots is still a major challenge because soft legs cannot effectively support the power and control systems. Most untethered soft robots apply a [...] Read more.
Soft robots are compliant, impact resistant, and relatively safe in comparison to hard robots. However, the development of untethered soft robots is still a major challenge because soft legs cannot effectively support the power and control systems. Most untethered soft robots apply a crawling or walking gait, which limits their locomotion speed and mobility. This paper presents an untethered soft robot that can move with a bioinspired dynamic trotting gait. The robot is driven by inflatable soft legs designed on the basis of the pre-charged pneumatic (PCP) actuation principle. Experimental results demonstrate that the developed robot can trot stably with the fastest speed of 23 cm/s (0.97 body length per second) and can trot over different terrains (slope, step, rough terrain, and natural terrains). The robotic dog can hold up to a 5.5 kg load in the static state and can carry up to 1.5 kg in the trotting state. Without any rigid components inside the legs, the developed robotic dog exhibits resistance to large impacts, i.e., after withstanding a 73 kg adult (46 times its body mass), the robotic dog can stand up and continue its trotting gait. This innovative robotic system has great potential in equipment inspection, field exploration, and disaster rescue. Full article
(This article belongs to the Special Issue Bioinspired Cross-Medium Aquatic Robots)
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21 pages, 1926 KiB  
Article
A Torque Control Strategy for a Robotic Dolphin Platform Based on Angle of Attack Feedback
by Tianzhu Wang, Junzhi Yu, Di Chen and Yan Meng
Biomimetics 2023, 8(3), 291; https://doi.org/10.3390/biomimetics8030291 - 5 Jul 2023
Cited by 3 | Viewed by 1221
Abstract
Biological fish can always sense the state of water flow and regulate the angle of attack in time, so as to maintain the highest movement efficiency during periodic flapping. The biological adjustment of the caudal fin’s angle of attack (AoA) depends on the [...] Read more.
Biological fish can always sense the state of water flow and regulate the angle of attack in time, so as to maintain the highest movement efficiency during periodic flapping. The biological adjustment of the caudal fin’s angle of attack (AoA) depends on the contraction/relaxation of the tail muscles, accompanying the variation in tail stiffness. During an interaction with external fluid, it helps to maintain the optimal angle of attack during movement, to improve the propulsion performance. Inspired by this, this paper proposes a tail joint motion control scheme based on AoA feedback for the high-speed swimming of bionic dolphins. Firstly, the kinematic characteristics of the designed robot dolphin are analyzed, and the hardware basis is clarified. Second, aiming at the deficiency of the tail motor, which cannot effectively cooperate with the waist joint motor during high-frequency movement, a compensation model for the friction force and latex skin-restoring force is designed, and a joint angle control algorithm based on fuzzy inference is proposed to realize the tracking of the desired joint angle for the tail joint in torque mode. In addition, a tail joint closed-loop control scheme based on angle of attack feedback is proposed to improve the motion performance. Finally, experiments verify the effectiveness of the proposed motion control scheme. Full article
(This article belongs to the Special Issue Bioinspired Cross-Medium Aquatic Robots)
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