首页|Study Findings on Machine Learning Detailed by Researchers atEuropean Space Age ncy (PAseos Simulates the Environment forOperating Multiple Spacecraft)
Study Findings on Machine Learning Detailed by Researchers atEuropean Space Age ncy (PAseos Simulates the Environment forOperating Multiple Spacecraft)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news originatingfrom Noordwijk, Netherland s, by NewsRx editors, the research stated, “The next generation ofspacecraft te chnology is anticipated to enable novel applications, including onboard processi ng, machinelearning, and decentralized operational scenarios. Although several of these applications have been previouslyinvestigated, the real-world operatio nal limitations associated with actual mission scenarios havebeen only superfic ially addressed.”Financial supporters for this research include Vinnova; Vinutha Magal Shreenath.The news reporters obtained a quote from the research from European Space Agency : “Here, we presentan open-source Python module called PASEOS, capable of model ing operational scenarios involving oneor multiple spacecraft. It considers sev eral physical phenomena, including thermal, power, bandwidth, andcommunications constraints, and the impact of radiation on spacecraft. PASEOS can be run as a highperformance-oriented numerical simulation and/or in a real-time mode on edg e hardware. We demonstratethese capabilities in three scenarios: one in real-ti me simulation on a Unibap iX-10 100 satellite processor,another in a simulation modeling an entire constellation performing tasks over several hours, and one training a machine learning model in a decentralized setting. While we demonstrat e tasks in Earth orbit,PASEOS also allows deep space scenarios. Our results sho w that PASEOS can model the describedscenarios efficiently and thus provide ins ight into operational considerations. We show this by measuringruntime and over head as well as by investigating the constellation’s modeled temperature, batter y status,and communication windows. By running PASEOS on an actual satellite pr ocessor, we showcase howPASEOS can be directly included in hardware demonstrato rs for future missions.”
European Space AgencyNoordwijkNether landsEuropeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
