The 23rd IEEE International Symposium on Robot and Human Interactive Communication最新文献_第10页

Experimental testing of the CogLaboration prototype system for fluent Human-Robot object handover interactions 人-机器人物体流畅切换交互协同原型系统的实验测试

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926261

A. Koene, S. Endo, Anthony Remazeilles, Miguel Prada, A. Wing

引用次数: 17

Path-finding using reinforcement learning and affective states 使用强化学习和情感状态的寻路

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926309

Johannes Feldmaier, K. Diepold

引用次数: 10

Learn to adapt based on users' feedback 学会根据用户的反馈进行调整

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926322

Abir-Beatrice Karami, Karim Sehaba, Benoît Encelle

{"title":"Learn to adapt based on users' feedback","authors":"Abir-Beatrice Karami, Karim Sehaba, Benoît Encelle","doi":"10.1109/ROMAN.2014.6926322","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926322","url":null,"abstract":"Adaptive and personalized behavior is becoming essential and desirable in Human-Robot Interactive systems. We are interested in adaptive robots that learn from interaction traces (previous interactions with users). Our proposal is based on types of interactions where users express their level of satisfaction through feedback. Indeed, depending on the situation of interaction and the user himself, the robot behavior should adjust, and therefore can be judged, differently. From interaction traces (including robot actions and users' feedback), we aim to extract adaptation rules that give the dependencies between certain attributes of the interaction situation and/or the user profile, and the level of user satisfaction. We propose two learning algorithms to learn these adaptation rules. The first algorithm is direct, certain and optimal but slow to converge. The second is able to detect the importance of certain attributes in the adaptation process. It generalizes adaptation rules on unknown situations and to first time users, which makes it an approach with risk. We detail in this paper, our proposed model, both learning algorithms, and an evaluation of the learned rules from both algorithms by simulations and through a scenario with real users.","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":"131653148","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

Children's Openness to Interacting with a Robot Scale (COIRS) 儿童与机器人互动的开放性(COIRS)

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926372

David Robert, Victor van den Bergh

引用次数: 9

The industrial robot as intelligent tool carrier for human-robot interactive artwork 工业机器人作为人机交互艺术品的智能工具载体

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926364

A. Vick, D. Surdilovic, Ajit Kai Drager, J. Krüger

引用次数: 7

Weight aids system for Horse Riding Robot Simulator 骑马机器人模拟器体重辅助系统

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926270

Ji-Won Seo, Oh-Hoon Kwon, Jeong-Yean Yang, Chan-Soon Lim, D. Kwon

引用次数: 0

Real-time estimation of Human-Cloth topological relationship using depth sensor for robotic clothing assistance 基于深度传感器的机器人服装辅助人布拓扑关系实时估计

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926241

Nishanth Koganti, Tomoya Tamei, Takamitsu Matsubara, T. Shibata

引用次数: 12

Training of telecommunication through teleoperated android “Telenoid” and its effect 遥控机器人“Telenoid”的远程训练及其效果

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926396

Daisuke Nakamichi, S. Nishio, H. Ishiguro

{"title":"Training of telecommunication through teleoperated android “Telenoid” and its effect","authors":"Daisuke Nakamichi, S. Nishio, H. Ishiguro","doi":"10.1109/ROMAN.2014.6926396","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926396","url":null,"abstract":"Telenoid, a teleoperated android, is a medium through which teleoperators can transmit both verbal and nonverbal information to interlocutors. Telenoid promotes conversation with its interlocutors, especially elderly people. Nevertheless, since teleoperators admit that they have difficulty feeling that they are actually teleoperating their robots, they cannot use them effectively to transmit nonverbal information; such nonverbal information is one of Telenoid's biggest merits. In this paper, we propose a training program for teleoperators so that they can understand Telenoid's operation and ways to transmit nonverbal information through it. We investigate the effects of the training on teleoperation and communication, and identify three results. Firstly, our training improves Telenoid's head movements leading to clearer transmission of nonverbal information. Secondly, the effects of the training differ between genders. Females communicated with their interlocutors more smoothly than males after training. Males communicated with their interlocutors more smoothly after simple talking practice. Thirdly, we found that correlations exist not only among freely controlling the robot, regarding the robot as oneself, and tele-presence in the interlocutor's room, but also among freely controlling the robot, tele-presence in the interlocutor's room, and feeling involved when talking with the interlocutor. On the other hand, there are no correlations between the feelings about Telenoid's operation and the head movements.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"45 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":"125259870","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

A framework for endowing an interactive robot with reasoning capabilities about perspective-taking and belief management 一种赋予交互式机器人换位思考和信念管理推理能力的框架

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926399

Grégoire Milliez, Matthieu Warnier, A. Clodic, R. Alami

{"title":"A framework for endowing an interactive robot with reasoning capabilities about perspective-taking and belief management","authors":"Grégoire Milliez, Matthieu Warnier, A. Clodic, R. Alami","doi":"10.1109/ROMAN.2014.6926399","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926399","url":null,"abstract":"In daily human interactions, spatial reasoning occupies an important place. In this paper we present a situation assessment reasoner that generates relevant symbolic information from the geometry of the environment with respect to relations between objects and human capabilities. The role of SPARK (SPAtial Reasoning and Knowledge) component is to permanently maintain a state of the world in order to provide a basis for the robot to plan, to act, to react and to interact. More precisely, we describe here the way the system manages the hypotheses to be able to handle such knowledge in a flexible manner. Equipped with such capabilities, a robot that will interact with humans should be able to extract, compute or infer these relations and capabilities in order to communicate and interact efficiently in a natural way. To illustrate our work, we will explain how the robot is able to manage and update agents beliefs and pass Sally-Anne test. This work is part of a broader effort to develop a complete decisional framework for human-robot interactive task achievement.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"39 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":"115984565","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: 67

Applying affective feedback to reinforcement learning in ZOEI, a comic humanoid robot 情感反馈在人形机器人ZOEI强化学习中的应用

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926289

Ivor D. Addo, Sheikh Iqbal Ahamed

{"title":"Applying affective feedback to reinforcement learning in ZOEI, a comic humanoid robot","authors":"Ivor D. Addo, Sheikh Iqbal Ahamed","doi":"10.1109/ROMAN.2014.6926289","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926289","url":null,"abstract":"As robotic technologies of varying shapes and forms continue to make their way into our everyday lives, the significance of a humanoid robot's ability to make a human interaction feel natural, engaging and entertaining becomes an area of keen interest in sociable robotics. In this paper, we present our findings on how affective feedback can be used to drive reinforcement learning in human-robot interactions (HRI) and other dialogue systems. We implemented a system where a humanoid robot, named ZOEI, acts as a standup comedian by entertaining a human audience in a bid to generate humor and positively influence the emotional state of the humans. The mood rating of the audience is recorded prior to the interaction session. Using a survey, the eventual emotional state of the human participant is captured after the HRI session. For each audience member, we capture feedback regarding how funny each joke was. We present the implementation of the content selection framework. We share our findings to substantiate the idea that by using expressive behaviors of the humanoid to influence the delivery of content (in this case, jokes) as well as employing reinforcement learning techniques for driving targeted content selection, the robot was able to improve the human mood score progressively across the 16 people who engaged in the study.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"80 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":"115522839","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