How to optimally position multiple spacecraft to explore interstellar objects?
Information-Optimal Multi-Spacecraft Positioning for Interstellar Object Exploration
This paper proposes a multi-spacecraft (multi-agent) system for maximizing data collection during a flyby of an interstellar object (ISO). Given the high uncertainty in ISO trajectories, the system uses a probabilistic approach to coordinate the spacecraft, maximizing the viewing coverage of the ISO while minimizing redundant observations. A cost function balances maximizing points of interest viewed with minimizing overlapping fields of view.
Relevant to LLM-based multi-agent systems is the probabilistic coordination strategy in the face of uncertainty. This approach could be adapted for virtual agents interacting within simulated or partially observable environments, where actions have probabilistic outcomes. The concept of a cost function balancing individual agent performance (coverage) with overall system efficiency (overlap minimization) is applicable to multi-agent system design, where agent collaboration and resource optimization are key considerations. Furthermore, the pre-computation of agent actions (spacecraft trajectories) based on uncertainty bounds is potentially transferable to scenarios where agents can prepare strategies offline before engaging in real-time interaction.