S. Kabdushev, K. Kadyrzhan, Y. Vitulyova, A. Bakirov, Vladimir Yevstifeyev, I. Suleimenov
{"title":"Means of Aromatherapy of Mass Use as a Tool for Correcting the Psychophysiological State of Society","authors":"S. Kabdushev, K. Kadyrzhan, Y. Vitulyova, A. Bakirov, Vladimir Yevstifeyev, I. Suleimenov","doi":"10.1109/RAAI56146.2022.10092984","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092984","url":null,"abstract":"The expediency of developing electronic perfumery as a means of correcting the psychophysiological state of society is substantiated. A feature of the proposed approach is the pairing of electronic perfumery itself with jewelry. This allows the implementation of electronic circuits that provide the generation of aromatic vapors in accordance with the commands received from the control program installed on the user’s smartphone or iPhone, while ensuring a sufficiently high level of consumer attractiveness. The generation of aromatic vapors is carried out through the use of a solid or gel-like sorbent saturated with substances containing essential oils, and essential oils used in aromatherapy can be used. Commands given to the control unit can be formed using telemedicine diagnostics, which creates the prerequisites for directed impact on society as a whole. Issues related to the introduction of the proposed system into mass use are discussed. It is shown that initially such systems can only be implemented as an electronic perfume. The transition to the use of aromatherapy products for the correction of the psycho-emotional state is carried out at subsequent stages.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"144 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":"124625990","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}
{"title":"A Vision-based Robotic Platform for Large-diameter Sewerage Inspection","authors":"Quang Huy Dinh, W. Law, Burhan, S. Yeo, G. Seet","doi":"10.1109/RAAI56146.2022.10092985","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092985","url":null,"abstract":"Although the deep tunnel sewerage environment is unhealthy and dangerous for humans, most inspection and maintenance tasks are performed manually. This work presents a robotic solution for Singapore’s deep tunnel sewerage system, ranging from 20 to 50 m below ground. The robotic platform includes a mobile robot and an umbilical cable that allows the system to inspect and capture tunnel information up to 500 m. The system also offers the capability of stitching the captured tunnel images to form a complete tunnel map to enhance the investigation capability. The system has been tested and deployed at some deep sewerage locations in Singapore.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"201 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":"134433753","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}
{"title":"Pedestrian Crossing Detection by VGG16 for Visually-impaired Walking Assistance System","authors":"Takeru Yoshikawa, C. Premachandra","doi":"10.1109/RAAI56146.2022.10092992","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092992","url":null,"abstract":"The visually impaired, unlike other physically handicapped people, are constantly exposed to dangers such as traffic accidents and falls from high positions due to their inability to obtain visual information. Therefore, guide dogs are currently used to assist the visually impaired in walking. In the future, however, as the number of visually impaired people increases, it will become difficult to provide walking assistance only with guide dogs. Therefore, to realize safe walking for the visually impaired on pedestrian crossings, we present an automatic detection method for pedestrian crossings using images from cameras attached to the user’s body. Classical image processing-based pedestrian crossing detection is computationally inexpensive and has excellent real-time performance. However, it lacks versatility. Therefore, in this study, we use a transfer learning model called VGG16 to detect pedestrian crossings. To further confirm the usefulness of VGG16, we compared it with other transfer learning models. The results showed that the validation accuracy of VGG16 was 97.50%, indicating that VGG16 was the most useful.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"28 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":"124979385","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}
Muhammad R. Ahmed, T. Myo, Badar Al Baroomi, M. Aseeri, M. H. Marhaban, M. Kaiser
{"title":"Wireless Sensor Networks Outlier Detection Framework with LOF","authors":"Muhammad R. Ahmed, T. Myo, Badar Al Baroomi, M. Aseeri, M. H. Marhaban, M. Kaiser","doi":"10.1109/RAAI56146.2022.10092991","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092991","url":null,"abstract":"Wireless sensor networks (WSNs) are a class of technology in which low-cost, multi-functional nodes are used to send information over close range nodes using wireless connection. The technology is an open-media platform, it has also been built based on application-driven technology. Its use is not only limited to military applications but can also be applied to the monitoring of the environment, to the health sector, to emergency response, as well. In recent years, WSNs security had drawn quite a bit of interest, which is due to its characteristics and application scenario. A distributed network infrastructure that is built using nodes and other components is vulnerable to several types of attacks. It is vital to implement security mechanisms in WSNs so that their functionality can be ensured. There are several concerns when it comes to providing security in the WSN due to power constrained nodes and smaller network. This study uses the Local Outlier Factor (LOF) algorithm to detect the outlier nodes in WSN, for the purpose of securing the network. We conducted a research study by deploying 300 nodes of WSNs for the purpose of collecting temperature data from them. It was a promising result that could be implemented in a hardware structure in the future.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"45 3 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":"122949510","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}
{"title":"MVPNet: Multiple View Pyramid Network for LiDAR Point Cloud Prediction Based on Spatial-temporal Feature Learning","authors":"Feiyu Guan, Lianbo Guo","doi":"10.1109/RAAI56146.2022.10092969","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092969","url":null,"abstract":"Autonomous driving requires perceiving surrounding scenes and predicting the future in order to navigate safely. 3D point clouds from LiDAR sensor accurately characterize the environment and is pivotal for self-driving vehicles. We present MVPNet: a probabilistic future prediction model by multi-view fusion for 3D point clouds. Our model combines full-scale features in different views, and successfully predicts the 3D point cloud representation of the future scene, which can be achieved by self-supervised training without labels. We evaluate our method on the KITTI dataset and the experimental results suggest that our method generates reliable future point clouds for other downstream tasks and outperforms other baselines.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"322 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":"115870964","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}
Liliana Antão, Leonor Santos, João C. P. Reis, Gil Gonçalves
{"title":"Reward Shaping Study for Sub-Goal Based Robotic Tasks","authors":"Liliana Antão, Leonor Santos, João C. P. Reis, Gil Gonçalves","doi":"10.1109/RAAI56146.2022.10092972","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092972","url":null,"abstract":"Robotics has been providing essential tools to improve the Industry’s flexibility and reconfiguration. Nowadays, the tasks are highly complex, making it mandatory to renew programming techniques and craft sophisticated solutions. This is where Reinforcement Learning comes in handy: it broadens the horizon for new and disruptive methodologies, incorporating tolerance to uncertainties using exploration. However, those solutions can be challenging when it comes to building the reward function. So, this work proposes a ‘‘divide and conquer’’ approach, which transforms a long and complex task into smaller and easier achieved goals that boosts training efficiency and performance. This study tested different combinations of parameters and proposes a set of guidelines that used a Pickand-Place environment. The observed performance shows higher success rates and faster convergence for two and three sub-goals when comparing the sub-goal approach versus a sequential and traditional reward.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"113 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":"124691417","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}
{"title":"Proof of Concept Design for Identification of Late Blight on Potato Leaves Using a UAV","authors":"Romi Sullca-Bendezu, Ricardo Herrera-Baldeon, Deyby Huamanchahua","doi":"10.1109/RAAI56146.2022.10093001","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10093001","url":null,"abstract":"Potato is the third most consumed food fruit worldwide by humans and on many occasions at planting time it is affected by numerous fungal species that generate various diseases in potato leaves and tubers, causing great economic losses and obtaining a poor crop production. The objective of this study was to design a proof of concept for the early identification of late blight disease in potato leaves using an unmanned aerial vehicle (UAV), under the terms of technical and economic evaluation of the solution and the concepts of using an embedded system. The late blight identification processes were exposed to the technical and economic evaluation of the solution from three proposed solutions, solution S1, solution S2 and solution S3. The three provided solutions were compared, and the following results were obtained, the technical values Xi obtained the results of 0.86,0.86 and 0.75 according to the order number of solutions one, two and three and the economic evaluation results obtained the economic values Yi of 0.88,0.79 and 0.75. The optimal solution for the design of the proof of concept for the identification of late blight on potato leaves is solution S1, and from it the design of the control flow diagram and the schematic communication diagram were developed.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"40 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":"116739871","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}
{"title":"Proof of Concept Design for Terrain Type Recognition in Urban Environments","authors":"Ronald Solano, Jayr Huaman, Deyby Huamanchahua","doi":"10.1109/RAAI56146.2022.10092963","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092963","url":null,"abstract":"The autonomous navigation systems of terrestrial mobile robots have shortcomings in recognizing their environment when they move. Therefore, in this research, a conceptual design for the autonomous displacement of the Andromina robot based on Orbbec Astra S hardware was developed, which enables the recognition of the terrain in urban environments using the machine learning technique. In this article, a recognition system has been designed using the embedded system and image processing of the terrain in urban environments, in addition to the flowchart that allows us to know the sequence of actions throughout the process of recognizing the nature of the terrain. In the same way, the electromechanical design is proposed as part of the proof of concept, accompanied by the study of various sources and using a few methods to delimit the subject.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"82 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":"126172371","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}
Chenggong Zhai, Zhansheng Gong, Deping Ye, Zhe Liu, Yong Kang, Chaowei Yang
{"title":"Research on the Construction of Integrated Intelligent Storage System Based on Unmanned Intelligent Technology","authors":"Chenggong Zhai, Zhansheng Gong, Deping Ye, Zhe Liu, Yong Kang, Chaowei Yang","doi":"10.1109/RAAI56146.2022.10092990","DOIUrl":"https://doi.org/10.1109/RAAI56146.2022.10092990","url":null,"abstract":"With the rapid development of modern logistics, many new technologies have been mature and applied in social enterprises. They have developed from conventional flat warehouses to various types of automated warehouses, and are developing in the direction of intelligence and Internet. On the one hand, the intelligent storage system should meet the requirements of reliability and stability, on the other hand, it needs to be automated, intelligent and Internet-based. By discussing the development status of unmanned intelligent storage, this paper puts forward the construction objectives and ideas of intelligent storage system, and describes the workflow of storage system based on unmanned technology. This achievement will greatly improve the efficiency of daily warehousing operation, greatly reduce labor intensity, improve the scientific level of warehousing system management and decision-making, greatly improve the ability of rapid, continuous and accurate guarantee of warehousing system, and play an important role in building China’s modern logistics guarantee system.","PeriodicalId":190255,"journal":{"name":"2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)","volume":"62 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":"132731691","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}