Date: Tuesday 18 August 2020
Time: 9:30am – 4:30pm
Room: Cockle Bay Room, Level 2, International Convention Center Sydney
The rise of machine learning (ML) and artificial intelligence (AI) techniques is creating opportunities for space science missions with unprecedented capabilities. By augmenting traditional rule-based decision making with AI techniques (such as decision policies in deep reinforcement learning), robotic missions may become highly autonomous. Furthermore, ML advances will augment the capabilities of crews serving in extended space missions. Questions to be explored in this COSPAR 2020 cross-disciplinary workshop include:
- Across the many disciplines in space sciences, what are the mission requirements that drive the need for autonomy?
- How will ML/AI enable autonomous capabilities?
- What platforms are available for low-power, high-throughput compute in space?
- How can advances in ML augment human capabilities in crewed missions?
The workshop will feature invited talks, contributed talks, poster presentation as well as a panel discussion. For abstract submission, click here.
Technical Organizing Committee
- Mark Cheung, Lockheed Martin Advanced Technology Center, Palo Alto, CA, USA
- Eric Dixon, Lockheed Martin Advanced Technology Center, Palo Alto, CA, USA
- Animesh Garg, University of Toronto & Vector Institute, Toronto, Canada
- Shashi Jain, Intel, Portland, OR, USA
- Alison Lowndes, NVIDIA, UK
- James Parr, NASA Frontier Development Lab (FDL) & FDL Europe
- Florence Tan, NASA Science Mission Directorate, Washington, DC, USA