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Engineering Extremely Rare Events in Astrodynamics for Deep-Space Missions in Autonomy

Project description

New tiny self-driving satellites make space more accessible

CubeSats ushered in a new era in robotic exploration of the solar system. Remote guiding from Earth is still too expensive, counterbalancing any reductions in the launch and operation costs offered by their miniature size. The EU-funded EXTREMA project promises to overcome this obstacle. The project will introduce 'self-driving interplanetary CubeSats': miniaturised probes that drive themselves during the cruise, without requiring any contact with the ground. The idea is challenging: Nanosatellites must self-determine their position by sensing the environment. The project embeds elements of artificial intelligence and exploits ballistic capture. At the cutting-edge of research, EXTREMA will delineate a paradigm shift in the way deep-space missions are carried out.

Objective

A new space era is fast approaching. A multitude of miniaturised probes will soon permeate the inner solar system. The abundantly variegated minor bodies will be the destinations of numerous missions driven by exploration and exploitation needs. Missions to rocky planets will feature networks of artificial satellites to support science and operations. Yet, the state-of-the-art is to pilot deep-space probes from ground. Although this is reliable, ground control slots will saturate soon, thus hampering the current momentum in space exploration.

EXTREMA enables self-driving spacecraft: machines able to travel in the deep space free of human-driven instructions. We take the challenge to make these systems a reality, and fundamental research is conducted to lay down their foundations. The ambition of EXTREMA is to prove that minor bodies and inner planets can be reached in a totally autonomous fashion with highly constrained platforms. These systems are used to engineer ballistic capture, an extremely rare event observed in highly sensitive regimes. To reinforce this logic, a new approach in orbit validation is introduced, which excels pure computer simulations.

Erected over three pillars, the project forges a Simulation Hub, which reproduces on ground the spacecraft-environment interaction. While the pillars enable intermediate milestones, such as inferring the spacecraft position by exploiting the surrounding environment (autonomous navigation), self-determining a nominal plan without a-priori knowledge (autonomous guidance), and targeting the corridors that conduce to ballistic capture, it is the activity performed in the Simulation Hub that allows achieving the objectives via dedicated case studies.

A successful outcome will boost access to outer space. The impact is to favour settlements in the inner solar system on a large-scale basis. Located at the fringe of research, EXTREMA can determine a paradigm shift in the way we conceive and conduct deep-space mission.

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-COG - Consolidator Grant

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Call for proposal

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(opens in new window) ERC-2019-COG

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Host institution

POLITECNICO DI MILANO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 972 837,00
Address
PIAZZA LEONARDO DA VINCI 32
20133 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 972 837,00

Beneficiaries (1)

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