2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)最新文献_第2页

Development and performance comparison of extended Kalman filter and particle filter for self-reconfigurable mobile robots 自重构移动机器人扩展卡尔曼滤波与粒子滤波的研制与性能比较

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009168

S. Won, M. Biglarbegian, W. Melek

引用次数: 0

Evolutionary swarm robotics approach to a pursuit problem 求解追逐问题的进化群机器人方法

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009182

T. Yasuda, K. Ohkura, T. Nomura, Y. Matsumura

引用次数: 5

Acquiring personal keywords from a conversation for a human-robot communication 从人机交流的对话中获取个人关键字

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009181

Shun Nomura, Haeyeon Lee, E. Sato-Shimokawara, K. Wada, Toru Yamaguchi

引用次数: 0

Application of stretchable strain sensor for pneumatic artificial muscle 可拉伸应变传感器在气动人工肌肉中的应用

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009179

Hiroyuki Nakamoto, Soushi Oida, Hideo Ootaka, M. Tada, I. Hirata, F. Kobayashi, F. Kojima

引用次数: 8

Facial pose estimation via dense and sparse representation 基于密集和稀疏表示的面部姿态估计

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009177

Hui Yu, Honghai Liu

引用次数: 0

A route planning for disaster waste disposal based on robot technology 基于机器人技术的灾害垃圾处理路径规划

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009173

T. Takeda, Y. Mori, N. Kubota, Y. Arai

引用次数: 13

Average Edit Distance Bacterial Mutation Algorithm for effective optimisation 平均编辑距离细菌突变算法的有效优化

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009162

Tiong Yew Tang, S. Egerton, János Botzheim, N. Kubota

{"title":"Average Edit Distance Bacterial Mutation Algorithm for effective optimisation","authors":"Tiong Yew Tang, S. Egerton, János Botzheim, N. Kubota","doi":"10.1109/RIISS.2014.7009162","DOIUrl":"https://doi.org/10.1109/RIISS.2014.7009162","url":null,"abstract":"In the field of Evolutionary Computation (EC), many algorithms have been proposed to enhance the optimisation search performance in NP-Hard problems. Recently, EC research trends have focused on memetic algorithms that combine local and global optimisation search. One of the state-of-the-art memetic EC methods named Bacterial Memetic Algorithm (BMA) has given good optimisation results. In this paper, the objective is to improve the existing BMA optimisation performance without significant impact to its processing cost. Therefore, we propose a novel algorithm called Average Edit Distance Bacterial Mutation (AEDBM) algorithm that improves the bacterial mutation operator in BMA. The AEDBM algorithm performs edit distance similarity comparisons for each selected mutation elements with other bacterial clones before assigning the selected elements to the clones. In this way, AEDBM will minimise bad (similar elements) bacterial mutation to other bacterial clones and thus improve the overall optimisation performance. We investigate the proposed AEDBM algorithm on commonly used datasets in fuzzy logic system analysis. We also apply the proposed method to train a robotic learning agent's perception-action mapping dataset. Experimental results show that the proposed AEDBM approach in most cases gains consistent mean square error optimisation performance improvements over the benchmark approach with only minimal impact to processing cost.","PeriodicalId":270157,"journal":{"name":"2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127229349","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: 2

Combining pose control and angular velocity control for motion balance of humanoid robot soccer EROS 结合姿态控制和角速度控制的仿人足球机器人EROS运动平衡

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009164

Azhar Aulia Saputra, I. A. Sulistijono, A. S. Khalilullah, T. Takeda, N. Kubota

引用次数: 17

Self-generation of reward in reinforcement learning by universal rules of interaction with the external environment 基于与外部环境交互的普遍规则的强化学习中奖励的自我产生

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009176

K. Kurashige, Kaoru Nikaido

引用次数: 2

Medical interview training using depressed patient robot in psychiatric education 抑郁症患者机器人在精神病学教育中的医学访谈训练

2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) Pub Date : 2014-12-01 DOI: 10.1109/RIISS.2014.7009172

T. Hashimoto, H. Nakane, Ryo Kurimoto, Hiroshi Kobayashi

{"title":"Medical interview training using depressed patient robot in psychiatric education","authors":"T. Hashimoto, H. Nakane, Ryo Kurimoto, Hiroshi Kobayashi","doi":"10.1109/RIISS.2014.7009172","DOIUrl":"https://doi.org/10.1109/RIISS.2014.7009172","url":null,"abstract":"This paper introduces a psychiatric patient robot that can be used for medical interview training in psychiatric education. The patient robot is developed based on an android robot technology. Medical interview training in psychiatric field is generally conducted by employing human simulated or standardized patient (SP) who is trained to reproduce a set of symptoms of intended mental disorder by veteran psychiatrists. But in the use of a healthy person as a SP there are some problems such as mental burden, time-consuming, the lack of human resources, and so forth. In contrast, the merit of the use of a patient robot is to offer standardized and reproducible interview training to psychiatric trainees. Furthermore, it is expected that psychiatric trainees are able to experience realistic medical interview as if they face to a real human SP by taking advantage of characteristics of android robots. As the first step, the patient robot was particularly designed to simulate a set of symptoms of unipolar depression, because it is a common mental disorder worldwide. The interview scenario, that is question and answer process between an interviewer and the patient robot, was prepared based on the “Structured Interview Guide for the Hamilton Depression Rating Scale (SIGH-D)” which is widely used for interview training and clinical studies. The medical interview training with patient robot was introduced in actual psychiatric education, and eight students participated and evaluated its educational effect.","PeriodicalId":270157,"journal":{"name":"2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS)","volume":"234 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120878897","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: 2