A miniature stereo vision system for a biomimetic robotic rat

Mingjie Zou, Qing Shi, Chang Li, Jing Ye, Mengchao Ma, Zihang Gao, Qiang Huang, Toshio Fukuda

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

2 Citations (Scopus)

Abstract

Previously we have developed several robotic rats which can mimic the morphology and behavior of laboratory rats in high similarity. However, these previous robots were not endowed with perception devices, resulting in a limited interaction with rats. To address this problem, we developed a miniature stereo vision system for the robot to perceive surrounding environment. The hardware is composed by two tiny cameras (∼12 mm × 4 mm × 4 mm), wireless transmitter and receiver modules and USB video capture cards. With a delicate design, the two cameras can be rightly embedded into the head of the robot. The robot vision shows excellent measurement performance for obtaining depth information and recognizing unknown object. Additionally, our system is capable of SLAM when tested in a complicated environment by using the well-known ORB-SLAM2 algorithm. The experimental results shows that the average tracking time is 0.031s, which is below the inverse of the camera frame rate (0.033s), thus demonstrating a real-time performance.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9781538668689
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018 - Kandima, Maldives
Duration: 1 Aug 20185 Aug 2018

Publication series

Name2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018

Conference

Conference2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
Country/TerritoryMaldives
CityKandima
Period1/08/185/08/18

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