【成功率90%超】ChatGPTでロボット犬を操る技術がヤバすぎる

論文情報
・url: http://arxiv.org/html/2512.21293v1
・title: Quadrupped-Legged Robot Movement Plan Generation using Large Language Model
・abstract: Traditional control interfaces for quadruped robots often impose a high barrier to entry, requiring specialized technical knowledge for effective operation. To address this, this paper presents a novel control framework that integrates Large Language Models (LLMs) to enable intuitive, natural language-based navigation. We propose a distributed architecture where high-level instruction processing is offloaded to an external server to overcome the onboard computational constraints of the DeepRobotics Jueying Lite 3 platform. The system grounds LLM-generated plans into executable ROS navigation commands using real-time sensor fusion (LiDAR, IMU, and Odometry). Experimental validation was conducted in a structured indoor environment across four distinct scenarios, ranging from single-room tasks to complex cross-zone navigation. The results demonstrate the system's robustness, achieving an aggregate success rate of over 90\% across all scenarios, validating the feasibility of offloaded LLM-based planning for autonomous quadruped deployment in real-world settings.
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「コーヒー持ってきて」って普通に話しかけるだけで、ロボット犬が動く時代が来た…！

インドネシアの研究チームが開発した、大規模言語モデルで四足歩行ロボットを操作するシステムを徹底解説。
プログラミング不要で、誰でも自然な言葉でロボットに指示できる未来がすぐそこに。
高齢者介護や倉庫管理など、実用化の可能性は無限大です。

#AI #ロボット工学 #四足歩行ロボット #大規模言語モデル