AI 研究
AgenticGenPlan Generates Robot Planning Programs Without LLM Calls During Evaluation
The study tests reusable control programs in 28 simulated environment types. In the subset with classical planner comparisons, the best method reaches a 95% average success rate. Results are limited to fully observable states; reproducing them requires checking black-box access controls, evaluation seeds, and upfront synthesis costs.