混合驱动软机器人的设计与实验研究

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL Industrial Robot-The International Journal of Robotics Research and Application Pub Date : 2023-02-03 DOI:10.1108/ir-08-2022-0214
Ke Zhang, Hongtao Wei, Yongqi Bi
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引用次数: 1

摘要

本文的目的是设计一个执行检测的软机器人,通过使用混合驱动更快地到达目标点,使机器人能够以较快的速度执行检测任务。设计/方法/方法软机器人由马达和气压混合驱动,其中气压驱动软执行器弯曲,马达驱动软机器人前进。执行机构的精心设计是基于ABAQUS有限元仿真,结合常曲率微分模型和D-H法对软执行机构的运动空间进行分析。软机器人适应环境和跨越障碍的能力已经通过建造原型和复杂环境(如草地、砾石、沙子和管道)得到证明。本设计可以提高软体机器人运动的速度和平稳性,同时保留软体机器人良好的环境灵活性。软机器人具有良好的环境适应性和跨越障碍物的能力。本文提出的软机器人在管道检测、野外勘探等领域具有广阔的应用前景。
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Design and experimental research of the hybrid-driven soft robot
Purpose The purpose of this paper is to design a soft robot for performing detection, by using a hybrid drive to reach the target point faster and enable the robot to perform the detection task at a relatively fast speed. Design/methodology/approach The soft robot is driven by a mixture of motors and pneumatic pressure, in which the pneumatic pressure is used to drive the soft actuator to bend and the motors to drive the soft robot forward. The careful design of the actuator is based on a finite element simulation using ABAQUS, which combines a constant curvature differential model and the D-H method to analyze the motion space of the soft actuator. Findings The soft robot’s ability to adapt to the environment and cross obstacles has been demonstrated by building prototypes and complex environments such as grass, gravel, sand and pipes. Originality/value This design can improve the speed and smoothness of the motion of the soft robot, while retaining the good environmental flexibility of the soft robot. And the soft robot has good environmental adaptability and the ability to cross obstacles. The soft robot proposed in this paper has broad prospects in fields such as pipeline inspection and field exploration.
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
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