A Bioinspired Control Strategy Ensures Maneuverability and Adaptability for Dynamic Environments in an Underactuated Robotic Fish

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Gianluca Manduca, Gaspare Santaera, Marco Miraglia, Godfried Jansen Van Vuuren, Paolo Dario, Cesare Stefanini, Donato Romano
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引用次数: 0

Abstract

Bioinspired underwater robots can move efficiently, with agility, even in complex aquatic areas, reducing marine ecosystem disturbance during exploration and inspection. These robots can improve animal farming conditions and preserve wildlife. This study proposes a muscle-like control for an underactuated robot in carangiform swimming mode. The artifact exploits a single DC motor with a non-blocking transmission system to convert the motor’s oscillatory motion into the fishtail’s oscillation. The transmission system combines a magnetic coupling and a wire-driven mechanism. The control strategy was inspired by central pattern generators (CPGs) to control the torque exerted on the fishtail. It integrates proprioceptive sensory feedback to investigate the adaptability to different contexts. A parametrized control law relates the reference target to the fishtail’s angular position. Several tests were carried out to validate the control strategy. The proprioceptive feedback revealed that the controller can adapt to different environments and tail structure changes. The control law parameters variation accesses the robotic fish’s multi-modal swimming. Our solution can vary the swimming speed of 0.08 body lengths per second (BL/s), and change the steering direction and performance by an angular speed and turning curvature radius of 0.08 rad/s and 0.25 m, respectively. Performance can be improved with design changes, while still maintaining the developed control strategy. This approach ensures the robot’s maneuverability despite its underactuated structure. Energy consumption was evaluated under the robotic platform’s control and design. Our bioinspired control system offers an effective, reliable, and sustainable solution for exploring and monitoring aquatic environments, while minimizing human risks and preserving the ecosystem. Additionally, it creates new and innovative opportunities for interacting with marine species. Our findings demonstrate the potential of bioinspired technologies to advance the field of marine science and conservation.

生物启发控制策略可确保动力不足的机器鱼在动态环境中的操纵性和适应性
受生物启发的水下机器人即使在复杂的水域也能高效、灵活地移动,从而减少勘探和检查过程中对海洋生态系统的干扰。这些机器人可以改善动物养殖条件,保护野生动物。本研究提出了一种类似肌肉的控制方法,适用于处于腕状游泳模式的动力不足机器人。该神器利用带有无阻塞传动系统的单直流电机,将电机的摆动运动转换为鱼尾的摆动。传动系统结合了磁耦合和线驱动机构。控制策略受到中央模式发生器(CPG)的启发,以控制施加在鱼尾上的扭矩。它整合了本体感觉反馈,以研究对不同环境的适应性。参数化控制法则将参考目标与鱼尾的角度位置联系起来。为了验证该控制策略,我们进行了多次测试。本体感觉反馈显示,控制器能够适应不同的环境和鱼尾结构变化。控制法则参数的变化可以利用机器鱼的多模式游动。我们的解决方案可以改变每秒 0.08 个体长(BL/s)的游泳速度,并通过分别为 0.08 弧度/s 和 0.25 米的角速度和转弯半径改变转向方向和性能。在保持已开发的控制策略的前提下,可通过设计变更提高性能。这种方法确保了机器人的可操作性,尽管其结构是欠驱动的。在机器人平台的控制和设计下,对能耗进行了评估。我们的生物启发控制系统为探索和监测水生环境提供了有效、可靠和可持续的解决方案,同时最大限度地降低了人类风险,保护了生态系统。此外,它还为与海洋物种互动创造了新的创新机会。我们的研究结果证明了生物启发技术在推动海洋科学和保护领域发展方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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