Multimodal HRI paper evaluates LLM-guided voice and posture interaction on Universal Robots UR3e

Evidence notes

• The paper presents a natural multimodal fusion system combining voice and deictic posture for human-robot interaction via a large language model.
• The system is evaluated on real-world tasks of varying complexity using a Universal Robots UR3e manipulator.