Low-cost map building and obstacle avoidance of miniature reconnaissance robot

Xuanyang Shi, Junyao Gao, Yi Liu, Jingchao Zhao, Fangzhou Zhao, Haoxiang Cao, Chuzhao Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Miniature robots can't carry too many sensors for obstacle avoidance due to its small volume. In this paper, we applied the method based on low-cost local map for obstacle avoidance that uses infrared sensors and MPU6050. Firstly, we introduced the robot and its kinematic model. Secondly, proposed the criterion of robot be trapped. Thirdly, we studied the infrared data filtering with FIR filter and local map building. Fourthly, proposed the free movement area method for two wheeled robot route planning. Finally, we did the contrast experiment, result shows that the robot can escape from the U-shape trap that use the method applied in this paper while the traditional method can't.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-213
Number of pages6
ISBN (Electronic)9781509043644
DOIs
Publication statusPublished - 2016
Event2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016 - Qingdao, China
Duration: 3 Dec 20167 Dec 2016

Publication series

Name2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016

Conference

Conference2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016
Country/TerritoryChina
CityQingdao
Period3/12/167/12/16

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