2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)最新文献_第7页

High-speed and energy-efficient locomotion of a seed-like underactuated robot on level surface by utilizing asymmetric wobbling effects 利用不对称摆动效应的种子型欠驱动机器人在水平面上的高速节能运动

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324550

Longchuan Li, F. Asano, I. Tokuda

引用次数: 3

A collision-free self-deployment of mobile robotic sensors for three-dimensional distributed blanket coverage control 面向三维分布地毯式覆盖控制的无碰撞自部署移动机器人传感器

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324398

Xiaotian Yang

引用次数: 6

Optimal motion planning for minimizing energy consumption of wheeled mobile robots 轮式移动机器人能量消耗最小化的最优运动规划

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324742

Roger Datouo, F. B. Motto, B. E. Zobo, A. Melingui, Ismail Bensekrane, R. Merzouki

引用次数: 9

An autonomous elevator button recognition system based on convolutional neural networks 基于卷积神经网络的电梯按钮自动识别系统

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324801

Zijian Dong, Delong Zhu, M. Meng

{"title":"An autonomous elevator button recognition system based on convolutional neural networks","authors":"Zijian Dong, Delong Zhu, M. Meng","doi":"10.1109/ROBIO.2017.8324801","DOIUrl":"https://doi.org/10.1109/ROBIO.2017.8324801","url":null,"abstract":"The ability to operate an elevator is significant for service robots to move freely inside a building and the elevator button recognition is placed as one of the most critical functions of this process. However, the variety of button styles, the different light conditions and the blurred images caused by the camera motion make this task difficult. To tackle this obstacle to achieve the robust real-time performance, a button recognition system is proposed based on the convolutional neural networks. In consideration of the diverse button shapes, a contour extraction algorithm and the noise filtering are specifically designed to avoid the exhaustive search and reduce the consumed time. Then the fine-tuned CNN model is trained on our established elevator button dataset to achieve a more reliable recognition performance comparing to the template matching methods. Besides, the arrangement pattern of buttons is utilized to deduce the missing buttons and correct mistakes. To verify our algorithm, we run our algorithm on a dataset of 5 distinct elevators. Our algorithm succeeds in localizing and recognizing 98% of the buttons in known elevators and 87.6% in unknown elevators and has an average speed of 3 frames per second.","PeriodicalId":197159,"journal":{"name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132894984","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: 16

EasySRRobot: An easy-to-build self-reconfigurable robot with optimized design EasySRRobot:一个易于构建的自重构机器人，具有优化的设计

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324563

Minjing Yu, Yong-Jin Liu, Charlie C. L. Wang

引用次数: 6

Design and simulation of spine affected by scoliosis and proposition of dynamic brace 脊柱侧凸影响脊柱的设计与仿真及动力支撑的提出

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324495

M. Souissi, Walid Amokrane, G. Poisson

引用次数: 0

Knowledge-based role recognition by using human-object interaction and spatio-temporal analysis 基于人-物交互和时空分析的知识角色识别

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324411

Chule Yang, Yijie Zeng, Yufeng Yue, Prarinya Siritanawan, Jun Zhang, Danwei W. Wang

{"title":"Knowledge-based role recognition by using human-object interaction and spatio-temporal analysis","authors":"Chule Yang, Yijie Zeng, Yufeng Yue, Prarinya Siritanawan, Jun Zhang, Danwei W. Wang","doi":"10.1109/ROBIO.2017.8324411","DOIUrl":"https://doi.org/10.1109/ROBIO.2017.8324411","url":null,"abstract":"Role recognition is a key problem when dealing with the unspecified human target whose description is limited, or appearance is ambiguous. Moreover, the ability to recognize the role of human can help to spot out the exceptional person in the scene. In this paper, a knowledge-based inference approach is proposed to categorize human roles as a binary representation of the targeted person and others by using the object-interaction feature and spatio-temporal feature. The method can associate spatial observations with prior knowledge and efficiently infer the role. An intelligent system equipped with an RGB-D sensor is employed to detect the individual and designated objects. Then, a probabilistic model of the existence of objects and human action is built based on prior knowledge. Finally, the system can determine the role through a Bayesian inference network. Experiments are conducted in multiple environments concerning different setups and degrees of clutter. The results show that the proposed method outperforms other methods regarding accuracy and robustness, moreover, exhibits a stable performance even in complex scenes.","PeriodicalId":197159,"journal":{"name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125568477","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

Speech classification based on compressive sensing measurement sequence 基于压缩感知测量序列的语音分类

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324760

Guofei Zheng, Huaqing Min, Sheng Bi, Min Dong, Kaihong Yang

引用次数: 2

Initial design and results of an untethered insertable laparoscopic robotic surgical camera system 一种无系绳可插入式腹腔镜手术机器人摄像系统的初步设计和结果

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324541

Ning Li, A. Yazdanpanah, G. Mancini, Jindong Tan

引用次数: 5

Non-invasive estimation method for lumbar spinal motion using flat belts and wires 使用平带和金属丝的腰椎运动无创评估方法

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2017-12-01 DOI: 10.1109/ROBIO.2017.8324413

Yalcin Akin, Shouhei Shirafuji, J. Ota

{"title":"Non-invasive estimation method for lumbar spinal motion using flat belts and wires","authors":"Yalcin Akin, Shouhei Shirafuji, J. Ota","doi":"10.1109/ROBIO.2017.8324413","DOIUrl":"https://doi.org/10.1109/ROBIO.2017.8324413","url":null,"abstract":"This paper presents a novel method for estimating lumbar spinal motion using practical and simple measurements. Previous studies have investigated the measurement methods for the lumbar spine; however, none of the studies that use wearable measurement systems have calculated the exact velocity of each vertebra using a non-invasive method for measuring vertebral motion including translation. The purpose of this study is to establish and implement a method to estimate accurate vertebral motion using a non-invasive technique. In the proposed method, we estimate the motion of the vertebra by using a rigid body model of the spine. We observe the changes at the contact points between the two belts and the wearer's back. In this study, we show how to estimate the lumbar motion at each vertebra by using sensors to measure the shifting, bending, and contacting regions of the flat belt attached to the wearer's back. We also validate the estimation of the angular velocity of the vertebra by measuring the shift in the belt by using wires and potentiometers. This is an important part of estimating the accurate motion of the vertebra.","PeriodicalId":197159,"journal":{"name":"2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121550646","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