Robotics & Machine Learning Daily News2024,Issue(MAY.28) :22-23.

New Robotics Study Findings Have Been Reported from Wenzhou University of Techno logy (Design and Performance Analysis of Soft Crawling Robot Based on Photoelect ric Sensor/STM32)

Robotics & Machine Learning Daily News2024,Issue(MAY.28) :22-23.

New Robotics Study Findings Have Been Reported from Wenzhou University of Techno logy (Design and Performance Analysis of Soft Crawling Robot Based on Photoelect ric Sensor/STM32)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in robotic s. According to news reporting from Zhejiang, People's Republic of China, by New sRx journalists, research stated, "In this study, a control system based on STM3 2/photoelectric sensor is designed for soft crawling robot." The news editors obtained a quote from the research from Wenzhou University of T echnology: "The system consists of a front-end camera installed on soft robot, w ireless routing, STM32 single-chip microcomputer and several photoelectric senso rs. In this design, STM32 single-chip microcomputer is used as the main controll er to send instructions to the four-limb drive steering gear through RS-485 modu le, and the feedback incentive mechanism is adopted to improve the accuracy and stability of the digital steering gear system. In order to better perceive the w orking environment, this design is also equipped with a variety of photoelectric level sensors, and photoelectric pressure sensors are installed to monitor the perceived pressure of the robot to make it move better on the ground. The photoe lectric sensor is used to realize the soft crawling robot walking according to t he planned route. The photoelectric tilt robot is used to change the walking dir ection during the moving process. Through the overall cooperation of the above c omponents, the movement angle of limbs can be changed to make them crawl under n arrow conditions."

Key words

Wenzhou University of Technology/Zhejia ng/People's Republic of China/Asia/Emerging Technologies/Machine Learning/R obot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文