SAGES: AI translates natural language into spacecraft trajectories
Researchers have developed SAGES (Semantic Autonomous Guidance Engine for Space), a framework that converts natural-language commands into safe spacecraft trajectories. The system addresses the need for reliable real-time trajectory generation in autonomous spacecraft, reducing reliance on extensive expert input like waypoints and constraints. SAGES translates high-level human intent into trajectories that respect nonconvex constraints. Experiments in fault-tolerant proximity operations with continuous-time constraint enforcement and on a free-flying robotic platform showed over 90% semantic-behavioral coherence. The work was published on arXiv (ID: 2512.09111).
Key facts
- SAGES stands for Semantic Autonomous Guidance Engine for Space
- Framework translates natural-language commands into spacecraft trajectories
- Achieves over 90% semantic-behavioral coherence in experiments
- Tested in fault-tolerant proximity operations and on a free-flying robotic platform
- Reduces need for expert input like waypoints and mission timelines
- Addresses nonconvex constraints in trajectory generation
- Published on arXiv with ID 2512.09111
- Aims to enable autonomous spacecraft rendezvous and proximity operations
Entities
Institutions
- arXiv