NAMO-LLM: Efficient Navigation Among Movable Obstacles with Large Language Model Guidance
机构 * Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St.Louis(电气与系统工程系,麦凯利工程学院,华盛顿大学圣路易斯分校)
专题命中 效率与部署 :LLM(title,abstract);large language model(title,abstract);language model(title,abstract)
Comments 9 pages, 6 figures