A major challenge in the field of control is to achieve reliable, aggressive, high-speed control of autonomous vehicles. In space, this may involve spacecraft that need to land under harsh conditions, or even – in an extreme scenario – negotiating asteroid debris fields at high speeds. On Earth, the exemplar task that draws most attention currently is high-speed autonomous flight of drones. The application of optimal control on board limited platforms has been severely hindered by the large computational requirements of current state-of-the-art implementations.

ATENA system is easy to access by many users and its maintence is effective. In addition, the system has a modern UX/UI which is developed as a web-based application. Within the ATENA we have a special set of building blocks enabling communication and test of equipment defined using SSM (Space System Model) concept. Within the de-risk we have also developed integration mechanisms that enables testing of prototype EGS-CC system connected with RTF Simulator.

The Max Planck Institute for Solar System Research (MPS) has developed and operated the imagining systems used for navigation and science in the Rosetta and Dawn missions. The objective of this project was to use recent lessons learned and competences acquired from these missions to develop a queue server and external commanding capability for future onboard image acquisition and image processing systems supporting advanced onboard autonomous navigation.

Addressing the utilization of telecommand and telemetry packets for the purpose of remote monitoring and control of the spacecraft, the Packet Utilization Standard (PUS) is one of the few ECSS engineering standards that is applied from the development of the Spacecraft, subsystems and payloads but also in the development of the Ground Segment and to the Operations.Producing a new PUS that includes the last 10 years of lessons learned, the PUS Working Group has applied some formal requirement engineering techniques with as intended objective to enable the capability to automate the productio

Myriad is a commercial Computer Vision (CV) and Artificial Intelligence (AI) processor that is both high-performance and low power, operating in a nominal 1.5W power envelope. Its bottom-up design for edge compute makes it an attractive solution for on-board and in-flight data processing, where it
can enable AI inference on CubeSats. Flying a COTS device for the first time requires several stages of test, design and development, and this activity supports multiples of these stages.

The general approach while designing a Reconfigurable Avionics will follow the general principles: - Implementing by default most of the functions as SW - Using (slave) reprogrammable FPGA(s) as an accelerator to implement too CPU intensive functions - Providing a scalable and versatile I/O system supported by flexible SW drivers - Extending digital I/Os by Analogue Front-ends The selected hardware platform is the combination of a powerful microprocessor and one or several high-end reconfigurable FPGAs, fulfilling the following needs: - Supporting exploratory and evolutionary designs accord