2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)最新文献_第2页

Unmanned Quadrotor Transportation Systems with Payload Hoisting/Lowering: Dynamics Modeling and Controller Design 无人机四旋翼运输系统与有效载荷提升/降低:动力学建模和控制器设计

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195317

X. Liang, Haixin Yu, Zhuang Zhang, Yang Wang, Ning Sun, Yongchun Fang

引用次数: 3

Design of Humanoid Robot Hua Zhibao 仿人机器人的设计

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195394

J. Lin, Song Yang, Zhijun Zhang

引用次数: 1

Hand Gesture Recognition Based on Multi-Classification Adaptive Neuro-Fuzzy Inference System and pMMG 基于多分类自适应神经模糊推理系统和pMMG的手势识别

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195286

Lei Wang, Jian Huang, Dongrui Wu, Tao Duan, Ruishan Zong, Shicong Jiang

引用次数: 1

A Survey of the Development of Wearable Devices 可穿戴设备发展概况

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195351

Quan Zhou, Bin Fang, Jianhua Shan, F. Sun, Di Guo

引用次数: 5

Navigation Path Points Extraction Method Based on Color Space and Depth Information for Combine Harvester 基于颜色空间和深度信息的联合收割机导航路径点提取方法

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195358

Wenjun Jiang, Zhengtao Yang, Pengfei Wang, Q. Cao

{"title":"Navigation Path Points Extraction Method Based on Color Space and Depth Information for Combine Harvester","authors":"Wenjun Jiang, Zhengtao Yang, Pengfei Wang, Q. Cao","doi":"10.1109/ICARM49381.2020.9195358","DOIUrl":"https://doi.org/10.1109/ICARM49381.2020.9195358","url":null,"abstract":"Automatic harvesting is an important part of agricultural automation. Navigation path points extraction is a prerequisite of automatic harvesting for combine harvester. The traditional methods of navigation path extraction in the farmland are mainly based on color space. The color space can be heavily influenced by environmental factors, such as illumination, weeds, shadows and crop types. On the contrary, depth information can be less affected by these factors. This paper proposes one method about navigation path points extraction based on both color space and depth information, which can improve robustness and accuracy of the navigation path points extraction. The method is mainly composed of three parts: navigation path points extraction based on color space, navigation path points extraction based on depth information and navigation path points fusion. The farmland experiments show that an average accuracy of navigation path points extraction is 98.02% with average pixel error of 4.08, average relative error of 0.64% and average distance error of 3.3cm. The experiment results show that this paper proposes one effective navigation path points method.","PeriodicalId":189668,"journal":{"name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125825455","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: 2

Fabrication and Mechanical Analysis of Bioinspired Gliding-optimized Wing Prototypes for Micro Aerial Vehicles 微型飞行器仿生滑翔优化机翼原型的制造与力学分析

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195392

Hamid Isakhani, Shigang Yue, C. Xiong, Wenbin Chen, Xuelong Sun, Tian Liu

{"title":"Fabrication and Mechanical Analysis of Bioinspired Gliding-optimized Wing Prototypes for Micro Aerial Vehicles","authors":"Hamid Isakhani, Shigang Yue, C. Xiong, Wenbin Chen, Xuelong Sun, Tian Liu","doi":"10.1109/ICARM49381.2020.9195392","DOIUrl":"https://doi.org/10.1109/ICARM49381.2020.9195392","url":null,"abstract":"Gliding is the most efficient flight mode that is explicitly appreciated by natural fliers. This is achieved by high-performance structures developed over millions of years of evolution. One such prehistoric insect, locust (Schistocerca gregaria) is a perfect example of a natural glider capable of endured transatlantic flights, which could potentially inspire numerous solutions to the problems in aerospace engineering. However, biomimicry of such aerodynamic properties is hindered by the limitations of conventional as well as modern fabrication technologies in terms of precision and availability, respectively. Therefore, we explore and propose novel combinations of economical manufacturing methods to develop various locust-inspired tandem wing prototypes (i.e. fore and hindwings), for further wind tunnel based aerodynamic studies. Additionally, we determine the flexural stiffness and maximum deformation rate of our prototypes and compare it to their counterparts in nature and literature, recommending the most suitable artificial bioinspired wing for gliding micro aerial vehicle applications.","PeriodicalId":189668,"journal":{"name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","volume":"59 39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125842836","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: 2

Design and Implementation of an Inspection Robot for Non-Destructive Testing of Aluminum Conductor Composite Core Wires 铝芯复合芯线无损检测机器人的设计与实现

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195372

Songtao Li, G. Song, Yuan Gao, Fushuai Zhen, Chenggang Li, Aiguo Song

引用次数: 1

Adaptive Backstepping Control for Piezoelectric Micro Actuating System with Input Saturation 输入饱和的压电微作动系统自适应反步控制

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195377

Ying Li, Ying Feng

引用次数: 0

Time-Optimal Control of Underactuated Wheeled Inverted Pendulum Vehicles Along Specified Paths 欠驱动轮式倒立摆车辆沿指定路径的时间最优控制

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195334

Yigao Ning, M. Yue, Zenan Lin

引用次数: 2

Real-time Colonoscopy Image Segmentation Based on Ensemble Knowledge Distillation 基于集成知识蒸馏的实时结肠镜图像分割

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) Pub Date : 2020-12-01 DOI: 10.1109/ICARM49381.2020.9195281

Zhichao Huang, Zhaoxia Wang, Jie Chen, Zhongsheng Zhu, Jianqiang Li

{"title":"Real-time Colonoscopy Image Segmentation Based on Ensemble Knowledge Distillation","authors":"Zhichao Huang, Zhaoxia Wang, Jie Chen, Zhongsheng Zhu, Jianqiang Li","doi":"10.1109/ICARM49381.2020.9195281","DOIUrl":"https://doi.org/10.1109/ICARM49381.2020.9195281","url":null,"abstract":"Colonoscopy is an important means of detecting various intestinal diseases such as bleeding, polyps, Merck diverticula, and ulcers. The sooner these diseases are detected, the better the patient's recovery. But colonoscopy is a demanding process, often leads to the high rate of misdiagnosis by experts, professional physicians and nurses and costs a lot of time. Therefore, robot-assisted colonoscopy is considered as an important method to solve this problem. In recent years, many automated deep learning models for colonoscopy have been proposed. However, these models are usually large and time-consuming, and cannot meet actual needs. Besides, due to the disconnection of data between hospitals, the strength of medical resources between different departments in different hospitals is different, so the general multi-classification model cannot fit the characteristics of such data distribution. Therefore, in this article, we ensemble multiple binary classification models (each model detects one disease) and extracted a compression model using knowledge distillation technology, which can simultaneously detect polyps, Merkel diverticula, ulcers and bleeding from colonoscopy. We tested the performance of our model on public and real data sets and found that the model can achieve acceptable results and help doctors make decisions in practice.","PeriodicalId":189668,"journal":{"name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","volume":"372 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132475650","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: 4