The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy.

Journal: Journal of visualized experiments : JoVE
Published Date:

Abstract

Intelligent robots are part of a new generation of robots that are able to sense the surrounding environment, plan their own actions and eventually reach their targets. In recent years, reliance upon robots in both daily life and industry has increased. The protocol proposed in this paper describes the design and production of a handling robot with an intelligent search algorithm and an autonomous identification function. First, the various working modules are mechanically assembled to complete the construction of the work platform and the installation of the robotic manipulator. Then, we design a closed-loop control system and a four-quadrant motor control strategy, with the aid of debugging software, as well as set steering gear identity (ID), baud rate and other working parameters to ensure that the robot achieves the desired dynamic performance and low energy consumption. Next, we debug the sensor to achieve multi-sensor fusion to accurately acquire environmental information. Finally, we implement the relevant algorithm, which can recognize the success of the robot's function for a given application. The advantage of this approach is its reliability and flexibility, as the users can develop a variety of hardware construction programs and utilize the comprehensive debugger to implement an intelligent control strategy. This allows users to set personalized requirements based on their needs with high efficiency and robustness.

Authors

  • Libo Zhang
    Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology Kunming 650093 China hyxia@kust.edu.cn zhanglibopaper@126.com.
  • Junjie Zhu
    Hunan University; zhujunjie@hnu.edu.cn.
  • Hao Ren
    Department of Rheumatology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. Electronic address: renhao67@aliyun.com.
  • Dongdong Liu
    Fuyang Normal University.
  • Dan Meng
    Anhui Normal University.
  • Yanjun Wu
    Institute of Software, Chinese Academy of Sciences.
  • Tiejian Luo
    University of Chinese Academy of Sciences.