Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003.最新文献

Vision-based mobile robot speed control using a probabilistic occupancy map 基于视觉的移动机器人速度控制的概率占用图

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232601

Y. Negishi, J. Miura, Y. Shirai

引用次数: 6

Multi-sensor guided behaviors in whole body tendon-driven humanoid Kenta 多传感器引导全身肌腱驱动人形Kenta的行为

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232570

T. Yoshikai, S. Yoshida, I. Mizuuchi, D. Sato, M. Inaba, H. Inoue

{"title":"Multi-sensor guided behaviors in whole body tendon-driven humanoid Kenta","authors":"T. Yoshikai, S. Yoshida, I. Mizuuchi, D. Sato, M. Inaba, H. Inoue","doi":"10.1109/MFI-2003.2003.1232570","DOIUrl":"https://doi.org/10.1109/MFI-2003.2003.1232570","url":null,"abstract":"In generating sensor-based behavior of the robot, which has various sensors and many degrees of freedom, the key point is how it utilizes information from many sensors in multi modals for moving its body flexibly. In our experimental systems for generating multi-sensor guided behavior, we have introduced the following methods: 1) Integration with reflexes: Integrating objective behavior (behavior which is aimed for achieving some specific goals) and various kinds of reflexes (behavior which instantly reacts to the changes in an environment).; 2) Posture-sensor data memory: Memorizing the robot postures, relating them with changes of various sensors. This memory can also be used for predicting human intention from previous experiences.; and 3) ABC-Net (attention-based conditional network): Behavior description network, where nodes are expressed by states of sensors paid attention to and arcs are expressed by actions to transit between nodes. In those methods, behavior experiments for making sure the effectiveness have been done in both real and virtual environment using Kenta, a multi-DOF and multi-sensor humanoid that we have developed. In this paper, the design and implementation of the whole behavior systems including the above three methods for realizing the multi-sensor guided behavior are described and the results of the behavior experiments using Kenta are shown.","PeriodicalId":328873,"journal":{"name":"Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129889060","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

Measurement of ground surface displacement using stereo vision and mechanical sensors on humanoid robots 在人形机器人上使用立体视觉和机械传感器测量地表位移

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232644

T. Yoshimi, Y. Kawai, Y. Fukase, H. Araki, F. Tomita

引用次数: 3

Super-resolution modeling 超分辨率建模

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232660

H. Nagahara, Y. Yagi, M. Yachida

引用次数: 1

Analysis and synthesis of human dance motions 人体舞蹈动作的分析与综合

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232637

A. Nakazawa, Shin'ichiro Nakaoka, Takaaki Shiratori, K. Ikeuchi, Cybermedia

引用次数: 20

Learning Bayesian network structure from environment and sensor planning for mobile robot localization 从环境和传感器规划中学习贝叶斯网络结构，用于移动机器人定位

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232636

Hongjun Zhou, S. Sakane

引用次数: 10

Map generation based on the interaction between robot body and its surrounding environment 基于机器人身体与周围环境相互作用的地图生成

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232635

T. Nakamura, Y. Uezu, H. Wu, T. Wada

引用次数: 0

Visual data mining using omni-directional sensor 基于全方位传感器的可视化数据挖掘

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232671

K. Kato, T. Shibata, H. Ishiguro

引用次数: 1

Pose estimation of a vehicle on rough terrain by using the Sun direction 利用太阳方向估计车辆在崎岖地形上的姿态

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232599

S. Furuki, S. Yuta

引用次数: 6

Integrated estimation of facial scale and position 面部尺度和位置的综合估计

Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Pub Date : 2003-09-23 DOI: 10.1109/MFI-2003.2003.1232661

T. Hirayama, Y. Iwai, M. Yachida

引用次数: 3