The Space-Terrestrial Internetworking (STINT) Workshops addresses emerging technical topics related to data exchange between and amongst space-based and terrestrial network nodes.
This is a one-day seminar featuring talks and invited presentations on the use Open Source software in the space community
This mini-workshop features a panel of digital engineering leaders in the space domain. The panel members will share their challenges, enablers, and lessons learned in planning and implementing these DE environments/ecosystems at their organizations.
This course aims to provide a foundation for building trust in artificial intelligence systems. A framework for evaluating trust is defined and highlights three perspectives - data, artificial intelligence algorithms, and cybersecurity
Recent trends in machine learning leverage the rapid technological developments in computational hardware and high-throughput data. As spacecraft health-data volumes continue to increase, engineering expertise combined with machine learning will lead the way to new ways to enable engineers to make informed choices about spacecraft status and enable timely system responses. The workshop will addresses this intersection of machine learning and space operations.
This will address the questions of:
1. What are the impediments to using autonomy on robotic space missions?
2. Which of those impediments apply to which kinds of space missions?
3. What is/can/should be done to overcome those impediments?
This workshop builds upon previous mission visualization systems that we have deployed for a variety of flight missions and JPL organizations including NASA’s Mars Science Laboratory (MSL), NASA’S Low Density Supersonic Decelerator (LDSD), NASA’s Soil Moisture Active Passive (SMAP), JPL’s MoonRise Lunar sample return proposal. JPL’s mission design teams, JPL’s Office of Naval Research tasks, and JPL’s Education and Public Outreach Office.
The purpose of this Mini-Workshop is to solicit student concepts for advanced CubeSat projects for LEO, deep-space (Lunar, Mars). Students are asked to describe the spacecraft concept, mission objectives, and hardware and software system engineering, showing the feasibility.
The meeting provides a bridge between industry and academia, blending academic research and industrial developments. Reports of practical solutions, trends and new system characteristics for EASe, taking an integrated systems approach, may include self-managing application in Aeronautics and Space domain.