Summary of Closing the Gap: Optimizing Guidance and Control Networks Through Neural Odes, by Sebastien Origer et al.
Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs
by Sebastien Origer, Dario Izzo
First submitted to arxiv on: 25 Apr 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper improves the accuracy of Guidance & Control Networks (G&CNETs) by leveraging the dynamics of spacecraft using Ordinary Differential Equations (ODEs) with neural networks on their right-hand side. The G&CNETs are trained to represent optimal control policies for time-optimal transfer and mass-optimal landing, respectively. By computing sensitivities to network parameters using variational equations, the paper updates the G&CNET parameters based on observed dynamics. This is achieved by starting with a regression task, training the networks on datasets of optimal trajectories using behavioural cloning, and then refining them using Neural ODE sensitivities by minimizing errors between final states and target states. The results show significant reductions in error for both orbital transfer (99%) and landing problem (98-99% position, 40-44% velocity). This enhancement in accuracy instills greater confidence in G&CNETs’ reliability for operational use. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes spacecraft control more accurate by using special equations that mix math and computer science. They train computers to learn the best ways to control a spacecraft’s movement and landing. The computers get better at this by looking at how the spacecraft moves and then adjusting their actions to match what works best. This helps the spacecraft come closer to its target, which is important for making sure it lands safely and efficiently. The results are very good, with big improvements in accuracy. |
Keywords
» Artificial intelligence » Regression
