The 23rd IEEE International Symposium on Robot and Human Interactive Communication最新文献_第3页

Conveying emotion in robotic speech: Lessons learned 在机器人语言中表达情感:经验教训

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926265

Joe Crumpton, Cindy L. Bethel

引用次数: 5

The personal mobility interface including human twisting motion 个人移动界面包括人体扭转运动

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926221

S. Yokota, D. Chugo, H. Hashimoto, K. Kawabata

引用次数: 7

People detection and distinction of their walking aids in 2D laser range data based on generic distance-invariant features 基于通用距离不变特征的二维激光距离数据中人的检测与助行器的区分

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926346

Christoph Weinrich, Tim Wengefeld, Christof Schröter, H. Groß

{"title":"People detection and distinction of their walking aids in 2D laser range data based on generic distance-invariant features","authors":"Christoph Weinrich, Tim Wengefeld, Christof Schröter, H. Groß","doi":"10.1109/ROMAN.2014.6926346","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926346","url":null,"abstract":"People detection in 2D laser range data is a popular cue for person tracking in mobile robotics. Many approaches are designed to detect pairs of legs. These approaches perform well in many public environments. However, we are working on an assistance robot for stroke patients in a rehabilitation center, where most of the people need walking aids. These tools occlude or touch the legs of the patients. Thereby, approaches based on pure leg detection fail. The essential contribution of this paper are generic distance-invariant range scan features for people detection in 2D laser range data and the distinction of their walking aids. With these features we trained classifiers for detecting people without walking aids (or with crutches), people with walkers, and people in wheelchairs. Using this approach for people detection, we achieve an F1 score of 0.99 for people with and without walking aids, and 86% of detections are classified correctly regarding their walking aid. For comparison, using state-of-the-art features of Arras et al. on the same data results in an F1 score of 0.86 and 57% correct discrimination of walking aids. The proposed detection algorithm takes around 2.5% of the resources of a 2.8 GHz CPU core to process 270° laser range data at an update rate of 10 Hz.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"207 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133356554","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: 39

Development of an interaction-activated communication model based on a heat conduction equation in voice communication 基于语音通信热传导方程的交互激活通信模型的开发

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926356

Yoshihiro Sejima, Tomio Watanabe, M. Jindai

引用次数: 4

Active or passive?: Investigating the impact of robot role in meetings 主动还是被动?:调查机器人在会议中的作用

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926315

Omar Mubin, Thomas D'Arcy, Ghulam Murtaza, S. Simoff, C. Stanton, C. Stevens

引用次数: 8

Learning English words with the aid of an autonomous care-receiving robot in a children's group activity 在儿童小组活动中，借助自动照顾机器人学习英语单词

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926351

Shizuko Matsuzoe, H. Kuzuoka, F. Tanaka

{"title":"Learning English words with the aid of an autonomous care-receiving robot in a children's group activity","authors":"Shizuko Matsuzoe, H. Kuzuoka, F. Tanaka","doi":"10.1109/ROMAN.2014.6926351","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926351","url":null,"abstract":"We studied educational support delivered through a care-receiving robot (CRR) in a children's group activity intended to promote the learning of English words by teaching the robot. Our prior study investigated the feasibility of the CRR for providing educational support in a situation where a child played with the robot by him/herself. Our research uncovered several impactful effects of the CRR for enhancing childhood education. However, the results were not sufficient to confirm more practical contributions of the CRR toward learning. In this paper, we report on a field experiment we conducted with a group of children at a Japanese kindergarten aged 5-6 years. Our goal was to verify the feasibility of an autonomous CRR for facilitating the learning of English words in an educational setting that closely resembled reality. The experiment was conducted on a group of roughly seven children who participated in an animal gesture game with the robot for four days to learn six English words/names for animals. There were a total of 15 participants, and we held two experimental sessions. In order to compare the educational effects between learning with the aid of the CRR and with an expert robot, both robots were introduced concurrently into classrooms. The experimental results showed that the autonomous CRR was more effective in promoting English vocabulary acquisition among preschoolers compared to the expert robot.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122864717","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

How to train your robot - teaching service robots to reproduce human social behavior 如何训练你的机器人——教学服务机器人再现人类的社会行为

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926377

Phoebe Liu, Dylan F. Glas, T. Kanda, H. Ishiguro, N. Hagita

{"title":"How to train your robot - teaching service robots to reproduce human social behavior","authors":"Phoebe Liu, Dylan F. Glas, T. Kanda, H. Ishiguro, N. Hagita","doi":"10.1109/ROMAN.2014.6926377","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926377","url":null,"abstract":"Developing interactive behaviors for social robots presents a number of challenges. It is difficult to interpret the meaning of the details of people's behavior, particularly non-verbal behavior like body positioning, but yet a social robot needs to be contingent to such subtle behaviors. It needs to generate utterances and non-verbal behavior with good timing and coordination. The rules for such behavior are often based on implicit knowledge and thus difficult for a designer to describe or program explicitly. We propose to teach such behaviors to a robot with a learning-by-demonstration approach, using recorded human-human interaction data to identify both the behaviors the robot should perform and the social cues it should respond to. In this study, we present a fully unsupervised approach that uses abstraction and clustering to identify behavior elements and joint interaction states, which are used in a variable-length Markov model predictor to generate socially-appropriate behavior commands for a robot. The proposed technique provides encouraging results despite high amounts of sensor noise, especially in speech recognition. We demonstrate our system with a robot in a shopping scenario.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124012118","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: 22

Design of affective robot-assisted activity for children with autism spectrum disorders 自闭症谱系障碍儿童情感机器人辅助活动的设计

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926280

Masakazu Hirokawa, A. Funahashi, Yasushi Itoh, Kenji Suzuki

引用次数: 11

Interactive teaching and experience extraction for learning about objects and robot activities 学习物体和机器人活动的互动式教学和经验提取

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926246

G. H. Lim, Miguel Oliveira, V. Mokhtari, S. Kasaei, Aneesh Chauhan, L. Lopes, A. Tomé

{"title":"Interactive teaching and experience extraction for learning about objects and robot activities","authors":"G. H. Lim, Miguel Oliveira, V. Mokhtari, S. Kasaei, Aneesh Chauhan, L. Lopes, A. Tomé","doi":"10.1109/ROMAN.2014.6926246","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926246","url":null,"abstract":"Intelligent service robots should be able to improve their knowledge from accumulated experiences through continuous interaction with the environment, and in particular with humans. A human user may guide the process of experience acquisition, teaching new concepts, or correcting insufficient or erroneous concepts through interaction. This paper reports on work towards interactive learning of objects and robot activities in an incremental and open-ended way. In particular, this paper addresses human-robot interaction and experience gathering. The robot's ontology is extended with concepts for representing human-robot interactions as well as the experiences of the robot. The human-robot interaction ontology includes not only instructor teaching activities but also robot activities to support appropriate feedback from the robot. Two simplified interfaces are implemented for the different types of instructions including the teach instruction, which triggers the robot to extract experiences. These experiences, both in the robot activity domain and in the perceptual domain, are extracted and stored in memory, and they are used as input for learning methods. The functionalities described above are completely integrated in a robot architecture, and are demonstrated in a PR2 robot.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126984844","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: 27

Modeling of everyday objects for semantic grasp 日常物品的建模以掌握语义

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926343

Y. Shiraki, K. Nagata, N. Yamanobe, Akira Nakamura, K. Harada, D. Sato, D. Nenchev

{"title":"Modeling of everyday objects for semantic grasp","authors":"Y. Shiraki, K. Nagata, N. Yamanobe, Akira Nakamura, K. Harada, D. Sato, D. Nenchev","doi":"10.1109/ROMAN.2014.6926343","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926343","url":null,"abstract":"This paper presents a knowledge model of everyday objects for semantic grasp. This model is intended for extracting the grasp areas of everyday objects and approach directions for grasping when the 3D point cloud data and the intended purpose are given. Parts that make up everyday objects have functions related to their manipulation. We therefore represent everyday objects in terms of connected parts of functional units. This knowledge model describes the structure of everyday objects and information on their manipulation. The structure of an everyday object describes component parts of the object in terms of simple shape primitives to provide geometrical information and describes connections between parts with kinematic attributes. The information on the structure is used to map the manipulation knowledge onto the 3D point cloud data. The manipulation knowledge of the object includes the grasp areas and approach directions for the intended purpose. Fine grasps suitable for the intended task can be generated by performing a grasp planning with consideration for stable grasp and the kinematics of the robot in the grasp areas and approach directions.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121370365","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: 16