Journal of Applied Data Sciences
Vol 3, No 4: DECEMBER 2022

Research on Obstacle Avoidance and Environment Adaptability of Snake Robot Based on Deep Learning

Qi, Wei (Unknown)
Ying, Chun (Unknown)
Yong, Sheng (Unknown)
Zhao, Guizhi (Unknown)
Wang, Lihua (Unknown)

Article Info

Publish Date
23 Dec 2022

Abstract

With the development and popularization of computer artificial intelligence technology, more and more intelligent machines are gradually produced. These intelligent machines have brought great convenience to people's lives.This paper studies the control method of snake robots based on environment adaptability, which mainly explains the construction and stability of multi-modal CPG model. In addition, this paper also studies the trajectory tracking and dynamic obstacle avoidance of mobile robot based on deep learning.

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Journal Info
Journal of Applied Data Sciences
Website

Abbrev

JADS

Publisher

Bright Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes ...