arXiv:2605.29412v1 Announce Type: cross Abstract: This paper presents the real-time retargeting guidance policy developed for the Chandrayaan-3 lunar landing mission. The baseline guidance generates approximate fuel-optimal descent trajectories, while a high-level policy enables safe retargeting to alternate sites when the nominal site becomes infeasible. The retargeting strategy leverages a convex representation of the controllability boundary, allowing rapid feasibility checks and real-time target updates. To the best of the authors knowledge, this represents the first application of a data-
The successful Chandrayaan-3 mission highlights the immediate applicability and growing sophistication of autonomous guidance systems for space, happening concurrently with a global race for lunar and Mars exploration.
This development indicates a tangible advancement in autonomous decision-making for critical missions, directly impacting the safety, efficiency, and feasibility of future space exploration efforts by various nations.
The ability to perform real-time retargeting using controllability boundaries significantly enhances mission resilience and adaptability, moving away from purely pre-programmed or ground-controlled operations.
- · Space exploration agencies (e.g., ISRO, NASA, ESA)
- · Aerospace and defence contractors
- · AI/ML research institutions
- · Nations with advanced space programs
- · Traditional manual mission control approaches (gradual obsolescence)
- · Competitors reliant on less sophisticated guidance systems
- · Space programs lacking investment in autonomous technologies
Increased safety and success rates for complex space missions, particularly lunar and planetary landings.
Acceleration of autonomous system adoption across other critical infrastructure and complex robotic operations beyond space.
Enhanced competition in space exploration as more nations develop and deploy similar cutting-edge autonomous guidance technologies, potentially reducing the cost and risk of lunar settlement.
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Read at arXiv cs.LG