2018 Second IEEE International Conference on Robotic Computing (IRC)最新文献_第5页

Optimal Trajectory and Schedule Planning for Autonomous Guided Vehicles in Flexible Manufacturing System 柔性制造系统中自主导向车辆的最优轨迹与进度规划

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00034

Atefeh Mahdavi, M. Carvalho

引用次数: 3

Development of a Hand-Up Request Motion Model Based on Analysis of Hand-Up Motion Between Humans 基于人之间举手运动分析的举手请求运动模型的建立

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00048

Shunsuke Ota, T. Yasuda, M. Jindai, Yoshihiro Sejima

{"title":"Development of a Hand-Up Request Motion Model Based on Analysis of Hand-Up Motion Between Humans","authors":"Shunsuke Ota, T. Yasuda, M. Jindai, Yoshihiro Sejima","doi":"10.1109/IRC.2018.00048","DOIUrl":"https://doi.org/10.1109/IRC.2018.00048","url":null,"abstract":"Robots are expected to work in fields involving direct interaction with human. However, in order to work in these fields, the robot has to be accepted favorably by humans. Therefore, these robots need to start communication smoothly. In the previous research, hand-up response motion of robot has been discussed. The effectiveness of this model was demonstrated by experiments using a hand-up robot system that employed the developed model. On the other hand, robots should also be able to generate active hand-up motion in order to promote its embodied interaction with humans. However, request side of hand-up greeting interaction of robot has not been discussed. Therefore, in this paper, a hand-up request motion model was proposed for generation of hand-up greeting with voice greeting with human. Initially, hand-up greeting between mutual human is measured and analyzed. Based on the motion characteristics obtained from the analysis result, a hand-up request motion model in which a robot requests hand-up greeting with voice greeting from human is proposed. The effectiveness of the developed request motion model is demonstrated through sensory evaluation experiments.","PeriodicalId":416113,"journal":{"name":"2018 Second IEEE International Conference on Robotic Computing (IRC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114793967","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

Autonomous Navigation and Sensorless Obstacle Avoidance for UGV with Environment Information from UAV 基于无人机环境信息的UGV自主导航与无传感器避障

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00056

Harikumar Kandath, Titas Bera, Rajarshi Bardhan, S. Sundaram

引用次数: 21

Exploring Topic Models on Short Texts: A Case Study with Crisis Data 探讨短文本的主题模型:以危机数据为例

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00078

S. Manna, Oras Phongpanangam

引用次数: 8

Finding Expert Authors in Financial Forum Using Deep Learning Methods 使用深度学习方法在金融论坛中寻找专家作者

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00082

Sahar Sohangir, Dingding Wang

{"title":"Finding Expert Authors in Financial Forum Using Deep Learning Methods","authors":"Sahar Sohangir, Dingding Wang","doi":"10.1109/IRC.2018.00082","DOIUrl":"https://doi.org/10.1109/IRC.2018.00082","url":null,"abstract":"The modern stock market is a popular place to increase wealth and generate income, but the fundamental problem of when to buy or sell shares, or which stocks to buy has not been solved. It is very common among investors to have professional financial advisers, but what is the best resource to support the decisions these people make? Investment banks, such as Goldman Sachs, Lehman Brothers, and Salomon Brothers have dominated the world of financial advice for decades. However, due to the popularity of the Internet and financial social networks, such as StockTwits and Seeking Alpha, investors around the world have a new opportunity to gather and share their experiences. This raises new questions: is the information these users provide trustworthy? How can we find the experts? In this paper, we seek to determine if neural network models can help us find the experts in a set of StockTwits tweets. We applied two neural network models - doc2vec and convolutional neural networks - to find top authors in StockTwits based on their messages. Our results showed that a convolutional neural network is the best model to predict such top authors in this data set.","PeriodicalId":416113,"journal":{"name":"2018 Second IEEE International Conference on Robotic Computing (IRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123173083","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: 13

Towards a Robot Hardware Abstraction Layer (R-Hal) Leveraging the XBot Software Framework 利用XBot软件框架实现机器人硬件抽象层(R-Hal

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00036

G. F. Rigano, L. Muratore, Arturo Laurenzi, E. Hoffman, N. Tsagarakis

引用次数: 8

Robot Navigation and Path Planning by Means of Rough Mereology 基于粗糙气象学的机器人导航与路径规划

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00076

L. Polkowski, Lukasz Zmudzinski, Piotr Artiemjew

引用次数: 3

Application of Semantic Computing in Cancer on Secondary Data Analysis 语义计算在癌症辅助数据分析中的应用

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00084

Charles C. N. Wang, I-Seng Chang, P. Sheu, J. Tsai

{"title":"Application of Semantic Computing in Cancer on Secondary Data Analysis","authors":"Charles C. N. Wang, I-Seng Chang, P. Sheu, J. Tsai","doi":"10.1109/IRC.2018.00084","DOIUrl":"https://doi.org/10.1109/IRC.2018.00084","url":null,"abstract":"There have been an enormous number of publications on cancer research. These integrated but unstructured cancer-related articles are of great value for cancer diagnosis, treatment and prevention. In this study, we use the basic concepts underlying text mining and semantic computing to discuss the current state-of-the-art text mining applications in cancer research. Using the abstract of literature extracted from PubMed between 2008 and 2016, a total 925,648 articles are used for subsequent text mining. Among the 925,648 articles, the top 5 most studied cancer types were breast cancer (23.82%), lung cancer (10.54%), prostate cancer (9.90%), rectal cancer (8.44%), and ovarian cancer (4.44%). The top 3 most frequently occurred keywords in the abstracts of the 925,648 articles are patients, cancer, and cell where each appear 1,445,688, 1,284,140, and 676,924 times, respectively. Analysis of the key concepts indicate that the most common concepts are patients, cancer, cell and tumor. Our results suggest that while the risk factors of cancer, treatment of cancer, and survival of cancer patients were popular research topics, end-of-life cancer care issues are less studied. Further studies should explore these areas since they are as important as treatment of the disease itself for many patients.","PeriodicalId":416113,"journal":{"name":"2018 Second IEEE International Conference on Robotic Computing (IRC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116792050","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

Survivability of MAS Through Collective Intelligence 集体智慧下MAS的生存能力

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00067

Mauricio A. Gomez, E. Matson

引用次数: 1

Model-Based Development of QoS-Aware Reconfigurable Autonomous Robotic Systems 基于模型的qos感知可重构自主机器人系统开发

2018 Second IEEE International Conference on Robotic Computing (IRC) Pub Date : 1900-01-01 DOI: 10.1109/IRC.2018.00027

D. Brugali, Rafael Capilla, R. Mirandola, Catia Trubiani

引用次数: 19