5th IEEE-RAS International Conference on Humanoid Robots, 2005.最新文献_第2页

"Lifelike" behavior of communication robots based on developmental psychology findings 基于发展心理学发现的通讯机器人的“逼真”行为

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573601

F. Yamaoka, T. Kanda, H. Ishiguro, N. Hagita

{"title":"\"Lifelike\" behavior of communication robots based on developmental psychology findings","authors":"F. Yamaoka, T. Kanda, H. Ishiguro, N. Hagita","doi":"10.1109/ICHR.2005.1573601","DOIUrl":"https://doi.org/10.1109/ICHR.2005.1573601","url":null,"abstract":"Researchers in developmental psychology have reported various findings about animate-inanimate distinctions, especially the decision criteria of human infants categorizing animate existence, such as distinguishing animals and humans from the inanimate. The purpose of our research is to develop animate or \"lifelike\" behavior for humanoid robots based on such categorizing, which would be expected to potentially make human-robot interaction more natural. Our approach is unique because we focus on the robot's mechanism and behavior design using environmental sensors. Consequently, we use a motion capturing system, which enables us to leapfrog technological developments for the robots' sensing abilities. The robot that we have developed reacts to human behavior, and it is implemented in order to satisfy the features of animate existence according to developmental psychology. Two experiments were conducted to verify its effects. The results of the first experiment verified the effectiveness of lifelike behavior and also showed that random behavior, which partly satisfies the features of animate existence, received a halfway evaluation for lifelikeness. The second experiment demonstrated the effectiveness of the developed robot for investigating the effect of a robot's cognitive ability for human-robot interaction","PeriodicalId":192337,"journal":{"name":"5th IEEE-RAS International Conference on Humanoid Robots, 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130826303","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: 21

Learning visual object definitions by observing human activities 通过观察人类活动来学习视觉对象的定义

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573560

M. Veloso, F. V. Hundelshausen, P. Rybski

{"title":"Learning visual object definitions by observing human activities","authors":"M. Veloso, F. V. Hundelshausen, P. Rybski","doi":"10.1109/ICHR.2005.1573560","DOIUrl":"https://doi.org/10.1109/ICHR.2005.1573560","url":null,"abstract":"Humanoid robots, while moving in our everyday environments, necessarily need to recognize objects. Providing robust object definitions for every single object in our environments is challenging and impossible in practice. In this work, we build upon the fact that objects have different uses and humanoid robots, while co-existing with humans, should have the ability of observing humans using the different objects and learn the corresponding object definitions. We present an object recognition algorithm, FOCUS, for finding object classifications through use and structure. FOCUS learns structural properties (visual features) of objects by knowing first the object's affordance properties and observing humans interacting with that object with known activities. FOCUS combines an activity recognizer, flexible and robust to any environment, which captures how an object is used with a low-level visual feature processor. The relevant features are then associated with an object definition which is then used for object recognition. The strength of the method relies on the fact that we can define multiple aspects of an object model, i.e., structure and use, that are individually robust but insufficient to define the object, but can do so jointly. We present the FOCUS approach in detail, which we have demonstrated in a variety of activities, objects, and environments. We show illustrating empirical evidence of the efficacy of the method","PeriodicalId":192337,"journal":{"name":"5th IEEE-RAS International Conference on Humanoid Robots, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130929239","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: 20

Modeling joint constraints for an articulated 3D human body model with artificial correspondences in ICP ICP中具有人工对应关系的关节三维人体模型关节约束建模

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573548

S. Knoop, Stefan Vacek, R. Dillmann

引用次数: 43

Towards a humanoid museum guide robot that interacts with multiple persons 朝着与多人互动的类人博物馆导览机器人的方向发展

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573603

Maren Bennewitz, F. Faber, D. Joho, M. Schreiber, Sven Behnke

引用次数: 138

Development and psychological evaluation of multimodal presentation markup language for humanoid robots 仿人机器人多模态表示标记语言的开发与心理评价

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573599

Yoshitaka Nishimura, Kushida Kazutaka, H. Dohi, M. Ishizuka, Johane Takeuchi, H. Tsujino

引用次数: 13

Uncovering manifold structures in Robonaut's sensory-data state space 揭示机器人感知数据状态空间中的流形结构

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573595

R. Peters, O. Jenkins

引用次数: 15

Humanoid motion planning for dynamic tasks 动态任务的类人运动规划

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573536

E. Yoshida, I. Belousov, Claudia Esteves, J. Laumond

引用次数: 106

A genetic-fuzzy algorithm for the articulatory imitation of facial movements during vocalization of a humanoid robot 仿人机器人发声过程中面部动作的发音模仿遗传模糊算法

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573606

E. Mumolo, M. Nolich, E. Menegatti

{"title":"A genetic-fuzzy algorithm for the articulatory imitation of facial movements during vocalization of a humanoid robot","authors":"E. Mumolo, M. Nolich, E. Menegatti","doi":"10.1109/ICHR.2005.1573606","DOIUrl":"https://doi.org/10.1109/ICHR.2005.1573606","url":null,"abstract":"In human heads there is a strong structural linkage between vocal tract and facial behavior during speech. For a robotic talking head to have a human-like behavior, this linkage should be emulated. One way to do that is to compute an estimate of the articulatory features which produce a given utterance and then to transform them into facial animation. We present a computational model of human vocalization which is aimed at describing the articulatory mechanisms which produce spoken phonemes. It uses a set of fuzzy rules and genetic optimization. The former represents the relationships between places of articulations and speech acoustic parameters, while the latter estimates the degrees of membership of the places of articulation. That is, the places of articulation are considered as fuzzy sets whose degrees of membership are the articulatory features. The trajectories of articulatory parameters can be used to control a graphical or mechanical talking head. We verify the model presented here by generating and listening to artificial sentences. Subjective listening tests of artificially generated sentences from the articulatory description resulted in an average phonetic accuracy of about 79 %. Through the analysis of a large amount of natural speech, the algorithm can be used to learn the places of articulation of all phonemes of a given speaker","PeriodicalId":192337,"journal":{"name":"5th IEEE-RAS International Conference on Humanoid Robots, 2005.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122160004","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: 6

Experiments of vision guided walking of humanoid robot, KHR-2 仿人机器人KHR-2视觉引导行走实验

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573558

Jung-Yup Kim, Ill-Woo Park, Jungho Lee, Jun-Ho Oh

引用次数: 28

Robotic imitation from human motion capture using Gaussian processes 机器人模仿人类的动作捕捉使用高斯过程

5th IEEE-RAS International Conference on Humanoid Robots, 2005. Pub Date : 2005-12-05 DOI: 10.1109/ICHR.2005.1573557

A. P. Shon, Keith Grochow, Rajesh P. N. Rao

引用次数: 86