A framework coupling LLM direction proposals with an external evaluator and a Gaussian-mixture experience memory reduces object-search path length and time versus heuristic baselines in real-world large-scale robot trials.
Star-searcher: A complete and efficient aerial system for autonomous target search in complex unknown environments.IEEE Robot
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GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments
A framework coupling LLM direction proposals with an external evaluator and a Gaussian-mixture experience memory reduces object-search path length and time versus heuristic baselines in real-world large-scale robot trials.