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Diffusion models enhance fuel-optimal spacecraft trajectory generation

Researchers have developed a novel diffusion-based multiple-shooting indirect optimal control method to generate fuel-optimal spacecraft trajectories. This approach combines the exploratory capabilities of diffusion models with the explicit satisfaction of necessary conditions provided by indirect optimal control methods. The new method aims to overcome the sensitivity of traditional indirect methods to initial costate estimation, which is crucial for solving Hamiltonian boundary-value problems. In benchmarks against an advanced indirect method on an Earth-Mars low-thrust transfer problem, the diffusion-based approach demonstrated greater convergence robustness. AI

IMPACT This research could enable more efficient and robust fuel-optimal trajectory planning for space missions.

RANK_REASON Academic paper detailing a new method for optimal control. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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Diffusion models enhance fuel-optimal spacecraft trajectory generation

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Academic paper detailing a new method for optimal control. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Saeid Tafazzol, Ehsan Taheri, Ryne Beeson ·

    Diffusion-Based Multiple-Shooting Indirect Optimal Control for Fuel-Optimal Spacecraft Trajectory Generation

    arXiv:2609.13990v1 Announce Type: cross Abstract: Diffusion-based generative models (DMs) have found applications in control problems, and in particular robotics, where the DMs enable exploration of possible control solutions. A critical shortcoming of these applications is that …