2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)最新文献_第7页

Study on cooperation between humanoid robot Nao and Barrett WAM 仿人机器人Nao与Barrett WAM的协同研究

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491096

Tingting Liu, M. Meng

引用次数: 8

Study of service robot architecture based on middleware and abstract environment 基于中间件和抽象环境的服务机器人体系结构研究

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491133

Qiongxiong Ma, Yanbiao Zou, Tie Zhang

{"title":"Study of service robot architecture based on middleware and abstract environment","authors":"Qiongxiong Ma, Yanbiao Zou, Tie Zhang","doi":"10.1109/ROBIO.2012.6491133","DOIUrl":"https://doi.org/10.1109/ROBIO.2012.6491133","url":null,"abstract":"More and more robots are integrated in our daily life environment, human-robot interaction is one of the main characteristics of these robots. The service robot must have plenty of sensors to apperceive the environment, understand human's intention. Then the robot's behavior can be conformed with the social rules via pose, expression, voice, multimedia and so on. Uncertain environment and various functions require a flexible architecture to facilitate reuse of software and device. In order to develop low cost service robots to provide various services fast, architecture based on the middleware and abstract environment was proposed. In this architecture, we described the running principle and the members of the architecture, design the abstract environment and environment change event mechanism, and then we extend the event mechanism to be suitable for the different platform via the communication platform. To verify the proposed architecture, we use .NET framework to implement the abstract environment and apply the architecture on the guide service robot and advertisement service robot. The test shows that this architecture is suitable for improving reusability of robot software and reduce develop time.","PeriodicalId":426468,"journal":{"name":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126242463","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

Design of transmote: A modular self-reconfigurable robot with versatile transformation capabilities transmote的设计:一种具有多种变形能力的模块化自重构机器人

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491153

Guifang Qiao, G. Song, Jun Zhang, Hongtao Sun, Weiguo Wang, Aiguo Song

引用次数: 22

Finding and utilizing self-preserving functions in blood pulsation-development for ethanol based artificial circulation system- 发现和利用血液搏动中的自我保存功能-乙醇基人工循环系统的研制

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491105

Chyon Hae Kim, Yuki Nishi, Shunsuke Nagahama, S. Sugano

引用次数: 3

Design and implementation of behaviour detection system for the elderly based on smart phone 基于智能手机的老年人行为检测系统的设计与实现

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491219

Min Dong, Zhi Hou, Zhitian Liu, Sheng Bi, Peidong Lin, Liangchang Zhu, Jiayi Xin, Liangpeng Liu

引用次数: 5

Kinematic analysis of an active angular swivel steering mechanism for robotic mobile bases 机器人移动基座主动转角转向机构的运动学分析

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491285

Elie A. Shammas, Daniel C. Asmar

引用次数: 2

Temporal gait parameters captured by Surface Electromyography measurement 表面肌电图测量捕获的时间步态参数

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491109

Chi Chong Chan, W. Liao

{"title":"Temporal gait parameters captured by Surface Electromyography measurement","authors":"Chi Chong Chan, W. Liao","doi":"10.1109/ROBIO.2012.6491109","DOIUrl":"https://doi.org/10.1109/ROBIO.2012.6491109","url":null,"abstract":"Surface Electromyography (SEMG) is a popular method to determine the muscle activities because of its noninvasive feature. Usually, the low frequency of surface EMG measurement (< 20 Hz) has been filtered out for the removal of motion artefact. Indeed, the frequency of motion captured by the SEMG measurement would be useful for determining motion events. If the acquired electrical signals from SEMG measurement can represent the movement of limbs or change of joint angle, the number of transducers for kinematic measurement could be reduced. Thus, the measurement system for a particular clinical study can be simplified and the function of current SEMG measurement devices could be extended for motion analysis even no motion transducer is used in testing. In this paper, gyroscopes are used to measure the dynamic characteristics of lower extremity (shank and thigh). With the information of dynamic characteristics, linear envelope and linear prediction are implemented for processing the SEMG signals. The results show that using the signals from SEMG measurement is feasible to capture the period of swing phase, stance phase and stride while having no significant difference than using gyroscopes and foot switch.","PeriodicalId":426468,"journal":{"name":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"12 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126008459","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

Hearing based relative localization for mobile robots in outdoor environments 基于听觉的户外移动机器人相对定位

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491283

Jing Guo, Qing-Hao Meng, Yu-Xiu Wu, Wei-Xing Yang, M. Zeng, Wei Li

引用次数: 3

Wireless capsule endoscopy video automatic segmentation 无线胶囊内窥镜视频自动分割

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491070

Ran Zhou, Baopu Li, Zhe Sun, Chao Hu, M. Meng

{"title":"Wireless capsule endoscopy video automatic segmentation","authors":"Ran Zhou, Baopu Li, Zhe Sun, Chao Hu, M. Meng","doi":"10.1109/ROBIO.2012.6491070","DOIUrl":"https://doi.org/10.1109/ROBIO.2012.6491070","url":null,"abstract":"Wireless capsule endoscopy (WCE) is an advanced technology that allows diagnosis inside human's digestive tract without invasiveness, however, it is a time-consuming task for clinicians to diagnose due to the large number of frames in video. A novel and efficient algorithm is proposed in this paper to help clinicians segment the WCE video automatically according to stomach, small intestine, and large intestine regions. Firstly, since there are many impurities and bubbles in WCE video frames which add the difficulty of segmentation, a pre-procedure is presented to denote the valid regions in the frames based on color and wavelet texture features. Secondly, the boundaries between adjacent organs of WCE video are estimated in two levels which consist of a rough and a fine level. In the rough level, color feature is utilized to draw a dissimilarity curve between frames and the aim is to find the peak of the curve, which represents the approximate boundary we want to locate. In the fine level, Hue-Saturation histogram color feature in HSI color space and uniform LBP texture feature from grayscale images are extracted. And support vector machine (SVM) classifier is utilized to segment the WCE video into different regions. The experiments demonstrate a promising efficiency of the proposed algorithm and the average precision and recall achieve as high as 94.33% and 89.50% respectively.","PeriodicalId":426468,"journal":{"name":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121014137","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: 8

A model-based human walking speed estimation using body acceleration data 基于人体加速度数据的人体步行速度估计模型

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2012-12-01 DOI: 10.1109/ROBIO.2012.6491259

Jwusheng Hu, Kuan-Chun Sun, Chi-Yuan Cheng

引用次数: 8