2011 RO-MAN最新文献_第7页

Upper extremity physical therapy for stroke patients using a general purpose robot 用于中风患者上肢物理治疗的通用机器人

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005268

Hee-Tae Jung, Jennifer Baird, Yu-Kyong Choe, R. Grupen

引用次数: 19

Evaluation of action-similarity awareness effect in rhythm ensemble co-creation 节奏合奏协同创作中动作相似意识效应评价

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005288

Hiroki Sato, Y. Kuniyoshi

{"title":"Evaluation of action-similarity awareness effect in rhythm ensemble co-creation","authors":"Hiroki Sato, Y. Kuniyoshi","doi":"10.1109/ROMAN.2011.6005288","DOIUrl":"https://doi.org/10.1109/ROMAN.2011.6005288","url":null,"abstract":"There are many robots which have communication skills with human but most of their actions and responses are preprogrammed and few researches inspect psychological aspects of behavior in human-robot co-creation. In this paper, we focus on action-similarity awareness as a key for building up co-creative relationship with humans. Here, action-similarity awareness means that one recognizes affinity to one's own actions derived from other's actions. As a simple task involving action-similarity awareness, we focused on rhythm ensemble. The ensemble is a type of drumming session in which even people who have little musical experience easily take part. In this research we expect to realize the awareness in the rhythm ensemble session by employing the other's past action and mixing it to metrical structure, a basic beat structure in music. To make sure of this idea in real session, we developed a robot system which can actually play a drumming session with humans and control action-similarity awareness. We conducted a subjective experiment and analyzed questionnaire and interaction record. From the questionnaire results, it was confirmed that the sense of prediction increases with action contributing rate and that it is effective to imitate humans actions and add 10% to 30% originality. From the interaction record it was confirmed that phrase structure was shared by making consent on which part to be varied or fixed.","PeriodicalId":408015,"journal":{"name":"2011 RO-MAN","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115905720","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: 1

A long-term Human-Robot Proxemic study 一项长期的人机比邻研究

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005274

M. Walters, M. A. Oskoei, D. Syrdal, K. Dautenhahn

{"title":"A long-term Human-Robot Proxemic study","authors":"M. Walters, M. A. Oskoei, D. Syrdal, K. Dautenhahn","doi":"10.1109/ROMAN.2011.6005274","DOIUrl":"https://doi.org/10.1109/ROMAN.2011.6005274","url":null,"abstract":"A long-term Human-Robot Proxemic (HRP) study was performed using a newly developed Autonomous Proxemic System (APS) for a robot to measure and control the approach distances to the human participants. The main findings were that most HRP adaptation occurred in the first two interaction sessions, and for the remaining four weeks, approach distance preferences remained relatively steady, apart from some short periods of increased distances for some participants. There were indications that these were associated with episodes where the robot malfunctioned, so this raises the possibility of users trust in the robot affecting HRP distance. The study also found that approach distances for humans approaching the robot and the robot approaching the human were comparable, though there were indications that humans preferred to approach the robot more closely than they allowed the robot to approach them in a physically restricted area. Two participants left the study prematurely, stating they were bored with the repetitive experimental procedures. This highlights issues related to the often incompatible demands of keeping experimental controlled conditions vs. having realistic, engaging and varied HRI trial scenarios.","PeriodicalId":408015,"journal":{"name":"2011 RO-MAN","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123744030","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: 83

Establishing human situation awareness using a multi-modal operator control unit in an urban search & rescue human-robot team 在城市搜救人机团队中使用多模态操作员控制单元建立人类情境感知

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005237

B. Larochelle, G. Kruijff, N. Smets, T. Mioch, P. Groenewegen

引用次数: 45

Awareness of human's subjective efficiency in collaborative HAI situation 协同HAI情境中人的主观效率意识

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005243

Masanori Suzuki, Yugo Takeuchi

引用次数: 0

Fast and robust registration of multiple 3D point clouds 快速和鲁棒的注册多个3D点云

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005295

H. Fukai, Gang Xu

{"title":"Fast and robust registration of multiple 3D point clouds","authors":"H. Fukai, Gang Xu","doi":"10.1109/ROMAN.2011.6005295","DOIUrl":"https://doi.org/10.1109/ROMAN.2011.6005295","url":null,"abstract":"In this paper, we propose a method for the fast and robust registration of multiple 3D point clouds. This method contributes the simultaneous localization and mapping (SLAM) robot. The problem of point cloud registration can be roughly classified into two. The problem of estimation of the relation from unknown geometry position is coarse registration. Moreover, in case of roughly position is known, the problem of estimation of the relation from known initial position is fine registration. In this study, we solve the coarse registration problem by exhaustive search, and prepare the initial positions for fine registration. To employ exhaustive search, we realize robust matching by using no feature point. The fine registration problem is solved by the ICP algorithm. In this case, reduction of initial positions for the ICP algorithm by non-extremum suppression that uses distance between two range data solves the problem of calculation cost. The distance evaluation function that robust for measurement error tackles the outlier problem. The problem of calculation cost is solved by registering the distance from the last point cloud data beforehand by the distance field. The effectiveness of the proposed method is shown by a actual data.","PeriodicalId":408015,"journal":{"name":"2011 RO-MAN","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133211426","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: 5

Target person identification and following based on omnidirectional camera and LRF data fusion 基于全向相机与LRF数据融合的目标人识别与跟踪

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005248

Mehrez Kristou, A. Ohya, S. Yuta

引用次数: 17

Situation assessment for human-robot interactive object manipulation 人机交互对象操作的态势评估

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005258

E. A. Sisbot, Raquel Ros, R. Alami

引用次数: 56

Extraction of tacit knowledge as expert engineer's skill based on mixed human sensing 基于混合人感知的专家工程师隐性知识提取技术

2011 RO-MAN Pub Date : 2011-08-30 DOI: 10.1109/ROMAN.2011.6005234

H. Hashimoto, Ikuyo Yoshida, Y. Teramoto, Hideki Tabata, Chao Han