SpaceCraft Autonomy & Onboard AI (SCARLET-α)
News
SmartSat and partners commit $7 million to develop AI-enabled spacecraft that operate autonomously
UniSA, SmartSat CRC and partners commit $7 million to develop AI-enabled spacecraft that operate autonomously
AI-based autonomy capabilities for next-generation space systems of dynamically networked formations of heterogeneous satellites
Project lead: UniSA (Prof Ryszard Kowalczyk)
Partners: Airbus, Asension, Leonardo, Saab, Deakin, Swinburne
Total budget: ~$7m over 3 years
Project lead: UniSA (Prof Ryszard Kowalczyk)
Partners: Airbus, Asension, Leonardo, Saab, Deakin, Swinburne
Total budget: ~$7m over 3 years
WP1 Lead:
A/Prof Abbas Khosravi, Deakin
Leonardo
WP2 Lead:
A/Prof Bao Quoc Vo, Swinburne
Saab
WP3 Lead:
A/Prof Mahardhika Pratama, UniSA
Airbus
WP4 Lead:
Dr Jimmy Cao, UniSA
Asension
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Leveraging IPC Capability Demonstrator |
Update 08/2023:
We are recruiting 4 Postdocs and 7 PhDs!
If you are interested in the research topics below, please contact the project and WP leaders by email ASAP.
The research topics of SCARLET-α project include:
WP1: Uncertainty-aware deep learning for actionable intelligence onboard of small satellites
WP2: Multi-agent mission-based situational awareness and resilience in distributed space systems
WP3: Distributed deep learning for dynamic optimisation of constellation resources
WP4: AI-based real-time tasking and resource allocation for virtual satellites
WP1-WP2: Goal-oriented intelligent agents for mission-based situational awareness and resilience onboard of small satellites
WP3-WP4-WP1: Onboard deep learning for distributed resource optimisation in next-generation space systems
WP2-WP3-WP4: Multi-agent dynamic tasking in resilient satellite constellations
We are recruiting 4 Postdocs and 7 PhDs!
If you are interested in the research topics below, please contact the project and WP leaders by email ASAP.
The research topics of SCARLET-α project include:
WP1: Uncertainty-aware deep learning for actionable intelligence onboard of small satellites
WP2: Multi-agent mission-based situational awareness and resilience in distributed space systems
WP3: Distributed deep learning for dynamic optimisation of constellation resources
WP4: AI-based real-time tasking and resource allocation for virtual satellites
WP1-WP2: Goal-oriented intelligent agents for mission-based situational awareness and resilience onboard of small satellites
WP3-WP4-WP1: Onboard deep learning for distributed resource optimisation in next-generation space systems
WP2-WP3-WP4: Multi-agent dynamic tasking in resilient satellite constellations
