2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)最新文献_第2页

Control and Monitoring of Thermographic Chambers by Means of PLC and HMI 用PLC和人机界面控制和监测热成像室

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10092968

Edisson Eder Caballero Ames, Brayan Jesus Leon Quilca, Elvis Nelson Urbano Taipe, Deyby Maycol Huamanchahua Canchanya

{"title":"Control and Monitoring of Thermographic Chambers by Means of PLC and HMI","authors":"Edisson Eder Caballero Ames, Brayan Jesus Leon Quilca, Elvis Nelson Urbano Taipe, Deyby Maycol Huamanchahua Canchanya","doi":"10.1109/RAAI56146.2022.10092968","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092968","url":null,"abstract":"Covid-19 disease affects the individual’s body in different ways. Most of the infected people present various symptoms of complexity. This article develops the design of a system of control and monitoring of people through the use of thermographic cameras, which includes an intelligent control system for the detection of people with symptoms of Covid-19, which at the same time allows estimating a reading of parameters obtained from the thermographic camera, the possible suspected cases of people entering the Continental University. The development of the proposed system will allow obtaining real-time data of each user entering the Continental University, these parameters obtained will be stored in a SQL database that is linked to an HMI screen where the temperature of each person is displayed, if in case they exceed the established temperature ranges, instant access to the facility is restricted. The results of the research showed that the system design contributes to the prevention and mass propagation of Covid-19.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"452 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121069643","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: 0

Non-Uniform Quantization and Pruning Using Mu-law Companding 基于mu律压缩的非均匀量化与剪枝

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10092966

SeungKyu Jo, JongIn Bae, Sanghoon Park, Jong-Soo Sohn

引用次数: 0

Robotic Process Automation with Ontology-enabled Skill-based Robot Task Model and Notation (RTMN) 基于本体的基于技能的机器人任务模型和符号(RTMN)的机器人过程自动化

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10092996

Congyu Zhang Sprenger, Thomas Ribeaud

引用次数: 0

Analysis of the Effect of the Indoor Environment on L-shaped Movement of Small Size Four Rotor Drone 室内环境对小型四旋翼无人机l型运动的影响分析

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/raai56146.2022.10092993

Shota Ishii, H. Toda

{"title":"Analysis of the Effect of the Indoor Environment on L-shaped Movement of Small Size Four Rotor Drone","authors":"Shota Ishii, H. Toda","doi":"10.1109/raai56146.2022.10092993","DOIUrl":"https://doi.org/10.1109/raai56146.2022.10092993","url":null,"abstract":"In this paper, L-shaped movement control experiment assuming the narrow passage movement inside the building of four rotor helicopter was confirmed and the control stability was evaluated in a small size room (4× 4m, 3m height). In this experiment, a small 4-rotor drone was used and I made measurements in an L-shaped corridor, creating an environment with walls by means of partition board. To verify the problem of the orbit control with an L-shaped bend passage, an autonomous flight movement control experiment was conducted by 10 times with two different control strategies. Experimental result shows that (1) the stability of the L-shaped movement of the drone was seen the S.D. of the between trajectory of two 90 degree curves, and the overshoot fashion of the second 90 degree curves position. (2) The stability depends on the control method the PID and the proposed V2 control methods. (3) In an environment with obstacles, the overshoot is larger than when there are no obstacles, and the V2 control works effectively. This means that in such a case of drone flight of the L-shaped corridor in the building, the above two evaluation methods are useful, and stable flight can be achieved by reducing overshoot in corridors with walls. Our proposed the V2 condition control would be more useful in these case. As a result, it is necessary to carefully select the control method of the drone according to the usage scene.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122449773","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: 0

A Kalman-Particle Hybrid Filter For Improved Localization of AGV In Indoor Environment 基于卡尔曼-粒子混合滤波的AGV室内定位算法

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10093002

L. Zeghmi, A. Amamou, S. Kelouwani, Jonathan Boisclair, K. Agbossou

{"title":"A Kalman-Particle Hybrid Filter For Improved Localization of AGV In Indoor Environment","authors":"L. Zeghmi, A. Amamou, S. Kelouwani, Jonathan Boisclair, K. Agbossou","doi":"10.1109/RAAI56146.2022.10093002","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10093002","url":null,"abstract":"Automated Guided Vehicles (AGV), are becoming a popular choice for a wide variety of industries ranging from large-scale warehouses and automotive assembly plants to the smaller healthcare industries. Due to this versatility of operational areas, their ability to self-locate becomes very critical. However, the traditional localization approach such as classic Monte Carlo Localization (MCL) fails as it relies on the noisy measurements from encoders. An alternative approach called Iterative Closest Point (ICP) uses LIDAR to avoid unbounded noises measurements but fails to generate consistent samples in symmetrical environments. In this paper, an Extended Kalman Filter (EKF) based proposal distribution is introduced that combines encoder measurements with the LIDAR data to overcome the limitations in the classic MCL. The EKF generates samples efficiently by incorporating an adaptive observation covariance estimation solution. The proposed method is implemented in Robotic Operating System (ROS) and the tests are performed in a simulated environment, generated by the Gazebo simulator. The results of the proposed method show an overall improvement in the localization accuracy in comparison to the classic localization frameworks.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133569610","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

Methodology To Investigate Interference Using Off-The-Shelf LiDARs 使用现成的激光雷达调查干扰的方法

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10092997

J. Robinson, A. Venturi, Richard Dudley, Maurizio Bevilacqua, V. Donzella

{"title":"Methodology To Investigate Interference Using Off-The-Shelf LiDARs","authors":"J. Robinson, A. Venturi, Richard Dudley, Maurizio Bevilacqua, V. Donzella","doi":"10.1109/RAAI56146.2022.10092997","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092997","url":null,"abstract":"With the increase of assisted and automated functions provided on new vehicles and some automotive manufacturers starting to equip high end vehicles with LiDARs, there is a need to consider and analyse the effects of having LiDAR sensors on different vehicles interacting with each other in close proximity (e.g. cities, highways, crossroads, etc.). This paper investigates interference between 360 degree scanning LiDARs, which are one of the common typologies of automotive LiDARs. One LiDAR was selected as the victim, and 5 different LiDARs were used one by one as offenders. The victim and offending LiDARs were placed in a controlled environment to reduce sources of noise, and several sets of measurements were carried out and repeated at least four times. When the attacker and victim LiDARs were turned on at the same time some variations in the signals were observed, however the statistical variation was too low to be able to identify interference. As a result, this work highlights that there is no obvious effect of interference witnessed between the selected off-the-shelf 360 degree LiDAR sensors; this lack of interference can be attributed to the working principle of this type of LiDAR and low probability of having directly interfering beams, and also to the focusing and filtering optical circuits that the LiDARs have by design. The presented results confirm that mechanical scanning LiDAR can be used safely for assisted and automated driving even in situations with multiple LiDARs.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128000676","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: 0

Analysis of Aerial Images Using Deep Learning to Identify Critical Areas in Natural Disasters

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10093000

Nidhya Shivakumar

{"title":"Analysis of Aerial Images Using Deep Learning to Identify Critical Areas in Natural Disasters","authors":"Nidhya Shivakumar","doi":"10.1109/RAAI56146.2022.10093000","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10093000","url":null,"abstract":"Climate change has led to a rise in the frequency and intensity of natural disasters, which, in turn, affect a wide swath of human-populated areas. The use of Unmanned Aerial Vehicles (UAVs) is on the rise in mapping out the disaster areas in their immediate aftermath. However, processing the vast amount of data obtained can take several hours to days, costing crucial time that could be used in saving lives and infrastructure. In this study, methods were developed to automate and accelerate the identification of areas that are in critical need of assistance. A Faster R-CNN object detection model was built to classify buildings into damaged and undamaged with 90% precision, and to further sub-classify them by the type of damage (undamaged, flood, rubble). The number of high quality labeled images required for training models was increased by 163% by developing an auto-label generation technique using weak supervision. Ensemble modeling further improved the recall of model predictions by 16%, and with higher prediction accuracy, when analyzing disasters not included in the training set. The utility of the model was demonstrated by using it to produce an annotated video of the 2021 tornado damage in Kentucky. A Mask R-CNN segmentation model had the best performance overall and identified undamaged roads with 100% precision and building damage with precision greater than 84% and with recall greater than 74% for all object types. This study demonstrates the power of deep learning in the processing of images from disaster-stricken areas to aid search and rescue efforts and significantly reduce disaster response times.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"420 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129236963","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: 0

Control-based auto-scaling of compute nodes in a fog cluster with service time guarantees 具有服务时间保证的雾集群中计算节点的基于控制的自动伸缩

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10092987

Dinsha Vinod, PS Saikrishna

引用次数: 0

Interacting Multiple Model Kalman Filtering for Optimal Vehicle State Estimation 基于交互多模型卡尔曼滤波的车辆最优状态估计

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10093004

Giseo Park

引用次数: 0

A Vision-based System for Social Insect Tracking 基于视觉的社会性昆虫跟踪系统

2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) Pub Date : 2022-12-09 DOI: 10.1109/RAAI56146.2022.10092977

Kristi Žampachů, Jirí Ulrich, Tomáš Rouček, Martin Stefanec, Dominik Dvořáček, Laurenz Fedotoff, D. Hofstadler, Fatemeh Rekabi-Bana, G. Broughton, F. Arvin, T. Schmickl, T. Krajník

{"title":"A Vision-based System for Social Insect Tracking","authors":"Kristi Žampachů, Jirí Ulrich, Tomáš Rouček, Martin Stefanec, Dominik Dvořáček, Laurenz Fedotoff, D. Hofstadler, Fatemeh Rekabi-Bana, G. Broughton, F. Arvin, T. Schmickl, T. Krajník","doi":"10.1109/RAAI56146.2022.10092977","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092977","url":null,"abstract":"Socia1 insects, especially honeybees, play an essential role in nature, and their recent decline threatens the stability of many ecosystems. The behaviour of social insect colonies is typically governed by a central individual, e.g., by the honeybee queen. The RoboRoyale project aims to use robots to interact with the queen to affect her behaviour and the entire colony’s activity. This paper presents a necessary component of such a robotic system, a method capable of real-time detection, localisation, and tracking of the honeybee queen inside a large colony. To overcome problems with occlusions and computational complexity, we propose to combine two vision-based methods for fiducial marker localisation and tracking. The experiments performed on the data captured from inside the beehives demonstrate that the resulting algorithm outperforms its predecessors in terms of detection precision, recall, and localisation accuracy. The achieved performance allowed us to integrate the method into a larger system capable of physically tracking a honeybee queen inside its colony. The ability to observe the queen in fine detail for prolonged periods of time already resulted in unique observations of queen-worker interactions. The knowledge will be crucial in designing a system capable of interacting with the honeybee queen and affecting her activity.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121524502","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