LLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space Exploration

arXiv:2405.01392v1 Announce Type: cross
Abstract: As spacecraft journey further from Earth with more complex missions, systems of greater autonomy and onboard intelligence are called for. Reducing reliance on human-based mission control becomes increasingly critical if we are to increase our rate of solar-system-wide exploration. Recent work has explored AI-based goal-oriented systems to increase the level of autonomy in mission execution. These systems make use of symbolic reasoning managers to make inferences from the state of a spacecraft and a handcrafted …

abstract agent arxiv autonomous autonomy control cs.ai cs.lg cs.ma cs.ro earth exploration human intelligence journey language language model large language large language model mission physics.space-ph rate reliance solar space spacecraft systems type work