The sustainability of the Internet of Underwater Things (IoUTs) relies on the continuous operation of autonomous underwater vehicles (AUVs), where ArUco markers serve as a fundamental interface for autonomous charging and data offloading. However, in docking scenarios involving torpedo-shaped AUVs, marker recognition f...
Yu-Jia Wang, Ai-Di Yu, Yu-Meng Fan et al.· IEEE Internet of Things Jour...· 0 citations
Large Language Models (LLMs) have emerged as powerful zero-shot task planners for robotic manipulation, reducing the need for manually specified symbolic models in classical Task and Motion Planning (TAMP). However, in closed-loop LLM–planner systems, motion planning (MP) is often the primary source of feasibility feed...
Mei-Yuan Gong, Yan Gao, Ze Ji· International Conference on...· 0 citations
Learning long-horizon robot manipulation remains difficult and time-consuming, especially under sparse rewards due to inefficient exploration and reward assignment. We present a minimal integration of large language models (LLMs) with reinforcement learning (RL) in which the LLM is used strictly as an online action pro...
Meiyuan Gong, Yan Gao, Ze Ji· 2026 IEEE International Conf...· 0 citations
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