Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence最新文献_第2页

Unmanned rescue vehicle navigation with fused DQN algorithm 融合DQN算法的无人救援车导航

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366293

Wenguan Cao, Xiaoci Huang, Fanglin Shu

引用次数: 3

Optimization design and analysis of the flapping-wing robotic aircraft 扑翼机器人飞机的优化设计与分析

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366286

Chun Zhao, Jun Zhong, Chao Wang

引用次数: 2

Analysis Method of Combustion-powered Actuators for Hopping Robots 跳跃机器人燃烧驱动机构分析方法

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366218

Yunguang Luan, Xiaoyong Wang, Haibo Yang, W. Xia

{"title":"Analysis Method of Combustion-powered Actuators for Hopping Robots","authors":"Yunguang Luan, Xiaoyong Wang, Haibo Yang, W. Xia","doi":"10.1145/3366194.3366218","DOIUrl":"https://doi.org/10.1145/3366194.3366218","url":null,"abstract":"The combustion-powered actuator shows a great performance on driving hopping robots. However, the analysis for driving hopping is limit due to its complex driving process interacting with dynamic and thermodynamic. In order that its analysis method could be obtained, two methods are conducted, and the merits of them are compared. First, the equations of combustion-powered actuators are obtained according to the combustion engine model. Second, the effects of the thermodynamic factors, including combustion duration, combustion quality index and combustion efficiency, are studied. The results show that the distance between the cylinder and piston changes little as these factors changes, when the pressure inside of the chamber is up to the maximum pressure. According to the conclusion, the combustion process during the driving process can be approximately considered as a constant volume combustion. Third, based on the constant volume combustion hypothesis, the pressure is expressed as the function of the stroke and diameter in a closed formation. To verify this hypothesis, the simulations with the two models are conducted, which shows that the results are consistency with each other. According to the constant volume hypothesis, the pressure can be expressed in the closed solution, which is convenient for designing the parameters of the actuator.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116781341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of Bit Geometry Parameters for 15-5PH Stainless Steel Drilling Based on Finite Element Simulation 基于有限元模拟的15-5PH不锈钢钻井钻头几何参数优化

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366267

Xueyong Liu, Minghong Wang

{"title":"Optimization of Bit Geometry Parameters for 15-5PH Stainless Steel Drilling Based on Finite Element Simulation","authors":"Xueyong Liu, Minghong Wang","doi":"10.1145/3366194.3366267","DOIUrl":"https://doi.org/10.1145/3366194.3366267","url":null,"abstract":"Due to the problems of sharp tool wear, large drilling force and high temperature during the actual processing of 15-5PH stainless steel, in order to improve the processing efficiency and tool life, this work uses the finite element simulation software AdvantEdge FEM studies the cemented carbide drilling process of 15-5PH stainless steel. The multi-factor orthogonal test method is adopted to analyze the results by range analysis method to study the influence of factors such as tool's point angle, clearance angle and helix angle on axial force and temperature. A brief analysis has presented a picture of change process of the axial force and temperature with time. The results show that the point angle has the greatest influence on the axial force, the clearance angle is the second, and the helix angle has the minimum impact. The helix angle has the greatest influence on the temperature, the point angle is the second, and the clearance angle has the minimum impact on the temperature. Finally, author optimizes the geometric parameters of the drill bit for 15-5PH stainless steel and gets the optimized parameter combination. The optimal combination of parameters are expressed as point angle φ = 118°, clearance angle γ = 14°, and helix angle β = 30°.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131286062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The interactive ability design of artificial intelligence based on the attention allocation mechanism of interactive perception 基于交互感知注意分配机制的人工智能交互能力设计

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366300

He Xuejiao

{"title":"The interactive ability design of artificial intelligence based on the attention allocation mechanism of interactive perception","authors":"He Xuejiao","doi":"10.1145/3366194.3366300","DOIUrl":"https://doi.org/10.1145/3366194.3366300","url":null,"abstract":"This article elaborates that the human brain structure determines that the people cannot really do \"multitasking\", but can consciously overcome the bottleneck of attention thinking, distribute the attention thinking rationally. Meanwhile, a lot of experimental cases show that people can finish 2 tasks at the same time if one is familiar with one task or by shifting the thinking quickly, thus \"multitasking\" is achieved. And intelligent interaction based on how the attention distribute has become one of the current development trends. According to 3 types of interactions based on the progressive decreasing of attention requirement, we provide a standardized definition to the interaction design, and extract the typical proposals. Attention is one factor when a user is thinking his/her preferred interaction. It is proved that, compared with the traditional \"undivided attention\", \"multitasking\" is more flexibility in dealing with problems. It is an essential thinking ability evolved for human to adapt to the development of science and technology and improve the social productivity.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131626208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pneumatic Flow Field Analysis of Multi-blade Centrifugal Ventilation Fan 多叶片离心通风机气动流场分析

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366313

W. Deng

引用次数: 0

Sub-voice Detection and Recognition based on Hybrid Audio Segmentation and Deep Learning 基于混合音频分割和深度学习的亚语音检测与识别

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366219

Xiaolei Zhao, Chenyin Wang, Xibin Xu

引用次数: 0

Shoulder Joint Image Segmentation Based on Joint Convolutional Neural Networks 基于关节卷积神经网络的肩关节图像分割

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366235

Yunpeng Liu, Renfang Wang, Ran Jin, Dechao Sun, Hui-xia Xu, Chen Dong

{"title":"Shoulder Joint Image Segmentation Based on Joint Convolutional Neural Networks","authors":"Yunpeng Liu, Renfang Wang, Ran Jin, Dechao Sun, Hui-xia Xu, Chen Dong","doi":"10.1145/3366194.3366235","DOIUrl":"https://doi.org/10.1145/3366194.3366235","url":null,"abstract":"Magnetic resonance imaging (MRI) is now commonly used for the examination and diagnosis of joints. A key step is to segment the bones of interest in MRI. This paper presents an algorithm for automatic segmentation of shoulder joint images based on a joint convolutional neural network model, which can accurately segment glenoid and humeral head in the shoulder image. This method includes two collaborative deep learning networks. The first network uses Mask R-CNN segmentation model to perform preliminary instance segmentation of glenoid and humeral head. The second network uses the probability maps of voxel belonging to the different objects (glenoid, humeral head, and background) as the constraint of the spatial location; thereby more accurate segmentation can be obtained. There are 50 groups of MRI which are used to train and test, the accuracy of Dice Coefficient, Positive Predicted Value (PPV), and Sensitivity for glenoid and humeral head reached 0.91±0.02, 0.95±0.01, 0.94±0.02 and 0.88±0.01, 0.91±0.02, 0.90±0.02 respectively, exceeding the current advanced segmentation algorithms.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125651203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Depth-Camera Calibration Optimization Method Based on Homography Matrix 基于单应性矩阵的深度摄像机标定优化方法

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366198

Dongdong Li, Guangzhu Chen, Chunjiang Li, Xiaofeng Huang

引用次数: 1

Prediction on the influence of ambient temperature and humidity to measuring instrument of thermal conductivity based on BP neural network 基于BP神经网络的环境温湿度对导热系数测量仪影响预测

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366294

Yuting Tang, Shen Xu, Ziyang Wang

{"title":"Prediction on the influence of ambient temperature and humidity to measuring instrument of thermal conductivity based on BP neural network","authors":"Yuting Tang, Shen Xu, Ziyang Wang","doi":"10.1145/3366194.3366294","DOIUrl":"https://doi.org/10.1145/3366194.3366294","url":null,"abstract":"In order to break the limitations on field applications of steady-state thermal conductivity measurement techniques, a new measuring system using the method termed point-heating steady state thermal conductivity measurement method is developed in this work. A corresponding 3D thermal transport model has been built to correlate the surface temperature rise with the incident heat flux, sample's thermal conductivity, and the location for temperature probing. The surface temperature is monitored by an infrared camera, which is easily affected by ambient temperature and humidity. BP neural network model is then employed to predict the influence of ambient temperature and humidity on the measuring instrument of thermal conductivity. The generalization and robustness of the BP neural network model are further verified by comparison with outputs of linear fitting and nonlinear fitting. The prediction model of F (x, y, z) based on BP neural network has good accuracy, and the error is between -0.17 and +0.17, which also improves the speed of measuring the thermal conductivity of the measuring instrument.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126057011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1