2018 4th International Conference on Control, Automation and Robotics (ICCAR)最新文献

Learning partial-value variable relations for system modeling 学习用于系统建模的部分值变量关系

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-06-13 DOI: 10.1109/ICCAR.2018.8384702

Nong Ye, T. Fok, Xin Wang, J. Collofello, Nancy Dickson

引用次数: 3

Data analytics on interactive indoor cycling exercises with virtual reality video games 基于虚拟现实视频游戏的互动式室内自行车运动数据分析

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-06-13 DOI: 10.1109/ICCAR.2018.8384693

M. Kassim, Muhamad Muhamad Said

{"title":"Data analytics on interactive indoor cycling exercises with virtual reality video games","authors":"M. Kassim, Muhamad Muhamad Said","doi":"10.1109/ICCAR.2018.8384693","DOIUrl":"https://doi.org/10.1109/ICCAR.2018.8384693","url":null,"abstract":"This paper presents a project development on interactive Indoor cycling exercise with virtual reality (VR) video games. Users body exercise movement on cycling while focusing on virtual reality video games are presented and analysed. The project would motivate citizen to increase their health and stamina while experiences with fun games in doing exercises. The objective is to design a prototype exercises bicycle that can control VR game using smartphone power by Arduino Uno controller. Secondly, communications control with wireless connection between Arduino Uno and smartphone is developed. Then data collection and analysed on users' exercise of the prototype VR bicycle is presented on heartbeat rate, cycle speed, game finishing time, travelled distance and stamina levels. The methodology comprised of hardware, software and programming system development using paddling sensor, handling sensor and balancing sensor for collected data. Deep data analytics on health and stamina levels are measured and analysed using Fusionex GIANT platform. Result presents a prototype of Interactive Indoor exercise cycling movement with video games is programmed to makes an enjoy movement while data analytics is presented from the movement of the human body. Analytics data on heartbeat, speed of cycling, time taken to finish, travelled distance and stamina levels on the gaming challenge are analysed. This project benefits to society to keep their fitness and healthy activities with fun games. Prototype also benefits stroke patients for bike exercises assistant.","PeriodicalId":106624,"journal":{"name":"2018 4th International Conference on Control, Automation and Robotics (ICCAR)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129706093","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: 10

Automatic safe area detection for novel unmanned air vehicle 新型无人机安全区域自动检测

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-04-20 DOI: 10.1109/ICCAR.2018.8384669

David Seiferth, M. Heller, F. Holzapfel

{"title":"Automatic safe area detection for novel unmanned air vehicle","authors":"David Seiferth, M. Heller, F. Holzapfel","doi":"10.1109/ICCAR.2018.8384669","DOIUrl":"https://doi.org/10.1109/ICCAR.2018.8384669","url":null,"abstract":"For experimental and commercial applications of Unmanned Air Vehicles within the middle and heavy weight category, a high level of safety during flights beyond visual line of sight needs to be ensured. Therefore, it is only allowed to operate the aircraft within a certain flight zone, which is defined prior to its flights. If the aircraft leaves the predefined flight area, the responsible operator would be forced to activate the aircraft's termination system, in order to avoid the aircraft from violating the flight zone in any case. This paper focuses on the development and implementation of a safe area detection algorithm for Unmanned Air Vehicles to prevent automatically the aircraft's leaving from its predefined flight zone without action of the operator on ground. It presents a mathematical approach to determine, if the aircraft stays within a certain area and underlines its functionality by appropriate model-in-the-loop simulations of a novel reference Unmanned Air Vehicle configuration. Additionally, a pre-flight verification algorithm of the flight zone is presented. Thereby, prior to flight, the flight zone specification is checked, to ensure a proper flight zone definition and to guarantee the functionality of the safe area detection algorithm. The presented approach can be generalized and applied to any other Unmanned Air Vehicles.","PeriodicalId":106624,"journal":{"name":"2018 4th International Conference on Control, Automation and Robotics (ICCAR)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116469656","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: 3

Static force, torque and structural analysis of 5R robotic arm — Simulation and practical implementation 5R机械臂的静力、扭矩和结构分析-仿真与实际实现

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-04-20 DOI: 10.1109/ICCAR.2018.8384646

Afaq Ahmed Abbasi, Ehtisham ul Hasan, Amna Khan

{"title":"Static force, torque and structural analysis of 5R robotic arm — Simulation and practical implementation","authors":"Afaq Ahmed Abbasi, Ehtisham ul Hasan, Amna Khan","doi":"10.1109/ICCAR.2018.8384646","DOIUrl":"https://doi.org/10.1109/ICCAR.2018.8384646","url":null,"abstract":"Robotic arms in industries encompassing long assembly lines has increased in vein of achieving automated and increased production. Material selection for utilization of robotic arms in such environments entails significant importance. Material selected has to interact with everyday job atmosphere and must withstand the forces applied at the end effector. Two commonly available materials Aluminum and Poly-methyl methacrylate were considered for designing of 5R robotic arm. Static force and torque analysis depicted the torques required in case of Aluminum slightly more as compared to those required in case of Poly-methyl methacrylate. Static structural analysis showed the total deformation experienced by Aluminum to be between 0.0148 to 0.1480 mm when end effector was subject to applied load of 5, 10, 20, 30, 40 and 50 N respectively, however, poly-methyl methacrylate reached the yield point when subjected to 40 N force. Therefore, based on reliable machineability, serviceability, static torque and structural analysis, aluminum was selected over Poly-methyl methacrylate, and was used for fabrication of 5R robotic arm.","PeriodicalId":106624,"journal":{"name":"2018 4th International Conference on Control, Automation and Robotics (ICCAR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131102973","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

Computer vision based object grasping 6DoF robotic arm using picamera 基于计算机视觉的小摄像机6DoF机械臂物体抓取

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-04-20 DOI: 10.1109/ICCAR.2018.8384653

Vishal Kumar, Qiang Wang, Wang Minghua, S. Rizwan, S. M. Shaikh, Xuan Liu

引用次数: 9

Development of an emotional expression platform based on LMA-shape and interactive evolution computation 基于lma形状和交互进化计算的情感表达平台的开发

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-04-20 DOI: 10.1109/ICCAR.2018.8384636

J. Inthiam, Eiji Hayashi, Wisanu Jitviriya, A. Mowshowitz

引用次数: 3

Spatio-temporal deep learning for robotic visuomotor control 机器人视觉运动控制的时空深度学习

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-04-20 DOI: 10.1109/ICCAR.2018.8384651

John M. Pierre

{"title":"Spatio-temporal deep learning for robotic visuomotor control","authors":"John M. Pierre","doi":"10.1109/ICCAR.2018.8384651","DOIUrl":"https://doi.org/10.1109/ICCAR.2018.8384651","url":null,"abstract":"To perform accurate and smooth behaviors in dynamic environments with moving objects, robotic visuomotor control should include the ability to process spatio-temporal information. We propose a system that uses a spatio-temporal deep neural network (DNN), with video camera pixels as the only input, to handle all the visual perception and visuomotor control functions needed to perform robotic behaviors such as leader following. Our approach combines: (1) end-to-end deep learning for inferring motion control outputs from visual inputs, (2) multi-task learning for simultaneously producing multiple control outputs with the same DNN, and (3) spatio-temporal deep learning for perceiving motion across multiple video frames. We use driving simulations to quantitatively show that spatio-temporal DNNs increase driving accuracy and driving smoothness by improving machine perception of scene kinematics. Experiments conducted with mobile robots in a laboratory test track show real-time embedded systems performance comparable to human reaction times to visual stimuli, and indicate that a spatio-temporal deep learning robot is able to follow a leader for long periods of time, while keeping within lanes and avoiding obstacles.","PeriodicalId":106624,"journal":{"name":"2018 4th International Conference on Control, Automation and Robotics (ICCAR)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116700111","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: 4

Impedance control approach in robot's leg dragging velocity variations 机器人腿部拖曳速度变化的阻抗控制方法

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-04-20 DOI: 10.1109/ICCAR.2018.8384665

W. Lezaini, A. Irawan

引用次数: 0

Deep reinforcement learning based neuro-control for a two-dimensional magnetic positioning system 基于深度强化学习的二维磁定位系统神经控制

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-04-20 DOI: 10.1109/ICCAR.2018.8384682

Eduardo Bejar, A. Morán

引用次数: 16

Sliding window bag-of-visual-words for low computational power robotics scene matching 面向低计算能力机器人场景匹配的滑动窗口视觉词袋

2018 4th International Conference on Control, Automation and Robotics (ICCAR) Pub Date : 2018-04-20 DOI: 10.1109/ICCAR.2018.8384650

Daniel Ginn, Alexandre Mendes, S. Chalup, Zhiyong Chen

{"title":"Sliding window bag-of-visual-words for low computational power robotics scene matching","authors":"Daniel Ginn, Alexandre Mendes, S. Chalup, Zhiyong Chen","doi":"10.1109/ICCAR.2018.8384650","DOIUrl":"https://doi.org/10.1109/ICCAR.2018.8384650","url":null,"abstract":"In this paper, we introduce a new method, based on a sliding window geometrical extension to Bag-of-Visual-Words (called swBOVW) intended for application to low computational power robots. Benchmarked against RANSAC as a geometric validator to BOVW, three implementations of this technique are presented to improve either the performance or the computational cost. The three implementations are: as a replacement to RANSAC as a geometric validator; as a supplement to RANSAC; and as a replacement to traditional BOVW when the number of images in the database can be reduced. Seeking to utilise some of the geometric information ignored by traditional BOVW, this technique is developed from the use of sub-regions in Spatial Pyramids, and applied to the matching of whole images. This technique is applied in the context of humanoid robotic soccer to the problem of field end symmetry, and provides geometric validation along the horizontal axis of images. When applied, the technique has been able to either halve the cases of unresolved image queries, or halve the computational cost required to achieve comparable results to the benchmark.","PeriodicalId":106624,"journal":{"name":"2018 4th International Conference on Control, Automation and Robotics (ICCAR)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129254808","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