Update: Abstract acceptance decisions sent on Nov 23
Check out the preliminary programme
Workshop Date: Monday 1 February 2021
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 2021 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.
NB: In light of the advice from the Australian Federal Government and with the current travel bans and need to safeguard our space research community at large, COSPAR 2021 will continue as planned, but with the addition of a major online component enabling the Assembly to become a hybrid in-person / virtual event.
- Michael Seablom (NASA HQ) - Autonomous Capabilities for Future NASA Science Missions
- Salah Sukkarieh (University of Sydney & Agerris) - Intelligent Robotics in the Field
- Animesh Garg (University of Toronto, Vector Institute & Nvidia) - Decision-Making with Causal Model
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
- Terry Fong, NASA Ames Research Center
- 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