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1. WO2020087717 - SYSTEM AND METHOD FOR MEASURING STIMULATION PARAMETER OF ANIMAL ROBOT BASED ON MACHINE VISION

Publication Number WO/2020/087717
Publication Date 07.05.2020
International Application No. PCT/CN2018/123659
International Filing Date 25.12.2018
IPC
A01K 15/02 2006.01
AHUMAN NECESSITIES
01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
15Devices for taming animals, e.g. nose-rings or hobbles; Devices for overturning animals in general; Training or exercising equipment; Covering boxes
02Training or exercising equipment, e.g. mazes or labyrinths for animals
B25J 19/00 2006.01
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; HANDLES FOR HAND IMPLEMENTS; WORKSHOP EQUIPMENT; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
19Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
CPC
B25J 19/0095
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
19Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
0095Means or methods for testing manipulators
G06T 2207/10016
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
10Image acquisition modality
10016Video; Image sequence
G06T 2207/30241
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
30Subject of image; Context of image processing
30241Trajectory
G06T 3/4038
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
3Geometric image transformation in the plane of the image
40Scaling the whole image or part thereof
4038for image mosaicing, i.e. plane images composed of plane sub-images
G06T 7/20
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
20Analysis of motion
Applicants
  • 山东科技大学 SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY [CN]/[CN]
Inventors
  • 杨俊卿 YANG, Junqing
  • 隋美娥 SUI, Meie
  • 槐瑞托 HUAI, Ruituo
  • 汪慧 WANG, Hui
  • 孙博 SUN, Bo
  • 李玉霞 LI, Yuxia
  • 苏涛 SU, Tao
  • 杨瑞东 YANG, Ruidong
  • 苏学成 SU, Xuecheng
Agents
  • 青岛智地领创专利代理有限公司 QINGDAO ZHIDILINGCHUANG PATENT AGENCY CO., LTD
Priority Data
201811283293.331.10.2018CN
Publication Language Chinese (ZH)
Filing Language Chinese (ZH)
Designated States
Title
(EN) SYSTEM AND METHOD FOR MEASURING STIMULATION PARAMETER OF ANIMAL ROBOT BASED ON MACHINE VISION
(FR) SYSTÈME ET PROCÉDÉ DE MESURE DE PARAMÈTRE DE STIMULATION DE ROBOT ANIMAL BASÉ SUR LA VISION ARTIFICIELLE
(ZH) 一种基于机器视觉的动物机器人刺激参数测定系统和方法
Abstract
(EN)
A system for measuring a stimulation parameter of an animal robot based on machine vision, relating to the control field of animal robots. According to the system, a machine vision technology is used to obtain the movement trajectory and the rotation direction of the animal robot to analyze the movement behavior of the animal robot more precisely and quantitatively, and further quantitatively analyze the correspondence between the stipulation parameter and the controlled behavior of the animal robot so as to determine the optimal stipulation parameter suitable for the specific animal individual and provide necessary information for the practical research on the animal robot. The manual determination is replaced with the machine vision. On the basis of the method proposed in the present invention, not only the standardization of the experimental process and the objectivity of experimental data are ensured so as to obtain the objective and consistent measurement result of the stimulation parameter, but also the low-value labor caused by the original manual stimulation parameter measurement experiment is significantly reduced, and the research efficiency of the animal robot is improved. The present invention also relates to a method for measuring a stimulation parameter of an animal robot based on machine vision.
(FR)
L'invention concerne un système de mesure d'un paramètre de stimulation d'un robot animal basé sur la vision artificielle, se rapportant au domaine de la commande de robots animaux. Selon le système, une technologie de vision artificielle est utilisée pour obtenir la trajectoire de mouvement et la direction de rotation du robot animal pour analyser le comportement de mouvement du robot animal plus précisément et quantitativement, et aussi analyser quantitativement la correspondance entre le paramètre de stimulation et le comportement commandé du robot animal de façon à déterminer le paramètre de stimulation optimal approprié pour l'individu animal spécifique et fournir des informations nécessaires pour la recherche pratique sur le robot animal. La détermination manuelle est remplacée par la vision artificielle. Sur la base du procédé proposé dans la présente invention, non seulement la standardisation du processus expérimental et l'objectivité des données expérimentales sont assurées de façon à obtenir le résultat de mesure objectif et cohérent du paramètre de stimulation, mais également la main-d'oeuvre de faible valeur nécessaire pour l'expérience de mesure de paramètre de stimulation manuelle d'origine est réduite significativement, et l'efficacité de recherche du robot animal est améliorée. La présente invention concerne également un procédé de mesure d'un paramètre de stimulation d'un robot animal basé sur la vision artificielle.
(ZH)
一种基于机器视觉的动物机器人刺激参数测定系统,属于动物机器人控制领域,该系统利用机器视觉技术获取动物机器人的运动轨迹和转动方向,可更精确和定量化的分析动物机器人的运动行为;并进一步地定量化分析出刺激参数与动物机器人受控行为的对应关系,从而确定出适于特定动物个体的最佳刺激参数,为动物机器人的实用化研究提供必要信息;通过机器视觉代替了人工判断,基于本发明所提出的方法不仅保证了实验流程的标准性和实验数据的客观性,进而得到客观一致的刺激参数测定结果;同时,大大减少了原来由人工刺激参数测定实验所带来的低价值劳动,提高了动物机器人的研究效率。还涉及一种基于机器视觉的动物机器人刺激参数测定方法。
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