Artificial Intelligence for Missions Autonomy

AIKO research-centered, innovative and futuristic mission is clear: developing algorithms infused with Artificial Intelligence, to increase the autonomy of current space missions.

Artificial Intelligence has entered a new period of scientific relevance.
It's time to leap from the traditional, rigid, Earth-bound space systems to autonomous, sentient ones. Scientific data must be prioritized, telemetry data must be interpreted with improved accuracy, failures must be mitigated, design must be optimized.
AI-based algorithms not only offer increased performances with respect to traditional architectures, but are an enabling technology for advanced mission concepts.

Services

Advanced Flight Software

Mission specific Command and Data Handling algorithms for E4-level autonomy.
Artificial Intelligence for Mission Replanning, Failure Detection, Isolation and Reconfiguration, Event Detection, Data Selection.

Big Data applications for space missions

Analysis algorithms for Mission Data. Feature Extraction, Image Classification, Pattern Recognition.

Expert Systems for Space Engineering

Employing Case-Based Reasoning to perform System Diagnosis, Design and Decision-Making, Project Planning.

Expertise

Machine Learning

We make of Machine Learning our flagship technology:
- Neural Networks
- Expert Systems
Adaptation of the technology to Space Systems (C&DH, AOCS, GNC, EPS) and to Space Missions. Our team has years of international presence in aerospace congresses (IAC, AIAA Space, ESA 4S, European CubeSat Symposium).

On-Board Software

Embedded Software Development on most typical Nanosatellites processors:
- ARM9, Linux RT
- MSP430, SalvoOS™
Development heritage on the flown e-st@r CubeSat family.

Partners

Amphinicy Technologies

I3P Incubator

PoliTo CubeSat Team

We are official supporters of Politecnico di Torino CubeSat Team.

Announcements

01/02/2018

Space Science Institute

AIKO signs a collaboration with the Space Science Institute, Colorado, US.
The collaboration will be focused on evaluating the implementation of Machine Learning algorithms for a Mars SmallSat mission concept. Read more...



25/09/2017

AIKO @ 68th IAC, Adelaide, Australia

AIKO founders presenting at the 68th IAC, Adelaide, Australia, key advancements on Mission Autonomy and Knowledge Engineering.



13/06/2017

AIKO @ ESA CubeSat Industry Days

AIKO being presented at ESA CubeSat Industry Days.



23/05/2017

AIKO is incubated

As of 23/05/2017, we are officially accepted among the startups of italian incubator I3P.



01/02/2018
Space Science Institute

Machine Learning algorithms for Mars Event Detection on a SmallSat mission

SSI Logo

AIKO signs a collaboration with the Space Science Institute, Colorado, US.
The collaboration will be focused on evaluating the implementation of Machine Learning algorithms for a Mars SmallSat mission concept.
The Space Science Institute (SSI) is a nonprofit research and education corporation based in Boulder (CO, USA) with a vision to expand humankind's understanding and appreciation of planet Earth, our Solar System, and the universe beyond. SSI is home to more than 60 scientists carrying out cutting edge research in astrophysics, planetary science, and space physics. It is also a leader in translating science into education and outreach projects, and it was home to the Cassini Imaging Science Subsystem Ops team, which provided the best pictures of Saturn, its rings, and moons until the end of NASA's Cassini mission.

Event Detection on Mars Image source: NASA. Processing: AIKO.

The project opens an important commercial direction for AIKO, with the first collaboration aimed at the implementation of AI-based algorithms for interplanetary missions. Small Satellites are characterized by severe limitations, that make their utilization in interplanetary missions challenging. AIKO algorithms are an enabling technology that will make future Small Satellites missions to other planets possible.