This study explores this new avenue by manipulating a specific type of machine learning algorithm called a Neural Network. Specifically, an Artificial Neural Network (ANN) to aid in the design process of a transmission line, and other RF devices. The proposed transmission line is a conductor or multiple conductors created to move certain electrical signals or plain electrical power over longer distances while preventing deterioration of quality in any specified metric. The loss in this metric will be measured in S-parameters.
{"title":"Using Neural Networks for Semiconductor Package Optimization","authors":"Archange Kra-Bassa, Janet Tocho, Mercy Daniel-Aguebor","doi":"10.1109/ORSS58323.2023.10161948","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161948","url":null,"abstract":"This study explores this new avenue by manipulating a specific type of machine learning algorithm called a Neural Network. Specifically, an Artificial Neural Network (ANN) to aid in the design process of a transmission line, and other RF devices. The proposed transmission line is a conductor or multiple conductors created to move certain electrical signals or plain electrical power over longer distances while preventing deterioration of quality in any specified metric. The loss in this metric will be measured in S-parameters.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115547387","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}
Pub Date : 2023-04-23DOI: 10.1109/ORSS58323.2023.10161821
Mehul Gupta, Larry Guy, Sahil Mithani, Avanish Narumanchi, Barry Walker, Shiyu Feng, P. Vela
Semi-autonomous navigation through unknown environments is an important area of research for robotics, with many potential applications in fields such as search and rescue, environmental monitoring, and exploration. However, existing methods rely on the robot to already have a semi-accurate map of the environment which cannot be assumed to be true in an unfamiliar environment. To address this, a new egocentric interface has been presented in this research paper, which provides a Robot Operating System (ROS)-based software utilizing the robot’s camera view. With this interface, a human operator can select a point visible in the robot’s camera view and provide it as an intermediate goal in the robot’s local environment. Using the robotic system’s inherent path-planning and navigation tools, a collision-free path is derived for the robot to follow. While the robot moves along the given path, a human operator may continue to provide intermediate goals and adjust its path based on recent observations. This process is simulated through the Gazebo simulator.
{"title":"An Ego-Centric Interface for Human Intervention in Semi-Autonomous Navigation through Unknown Environments","authors":"Mehul Gupta, Larry Guy, Sahil Mithani, Avanish Narumanchi, Barry Walker, Shiyu Feng, P. Vela","doi":"10.1109/ORSS58323.2023.10161821","DOIUrl":"https://doi.org/10.1109/ORSS58323.2023.10161821","url":null,"abstract":"Semi-autonomous navigation through unknown environments is an important area of research for robotics, with many potential applications in fields such as search and rescue, environmental monitoring, and exploration. However, existing methods rely on the robot to already have a semi-accurate map of the environment which cannot be assumed to be true in an unfamiliar environment. To address this, a new egocentric interface has been presented in this research paper, which provides a Robot Operating System (ROS)-based software utilizing the robot’s camera view. With this interface, a human operator can select a point visible in the robot’s camera view and provide it as an intermediate goal in the robot’s local environment. Using the robotic system’s inherent path-planning and navigation tools, a collision-free path is derived for the robot to follow. While the robot moves along the given path, a human operator may continue to provide intermediate goals and adjust its path based on recent observations. This process is simulated through the Gazebo simulator.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124313930","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：