<ul><li>TalkWithMachines aims to enhance human-robot interaction in interpretable industrial robotics.</li><li>The paper explores the integration of Large Language Models (LLMs) and Vision Language Models (VLMs) with robotic perception and control.</li><li>This enables robots to understand and execute commands in natural language and perceive their environment through visual and descriptive inputs.</li><li>The research focuses on four LLM-assisted simulated robotic control workflows, including low-level control, language-based feedback, visual information usage, and task planning.</li></ul>

TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models

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