Implicit Communication of Contextual Information in Human-Robot Collaboration

Implicit communication is crucial in human-robot collaboration (HRC), where contextual information, such as intentions, is conveyed as implicatures, forming a natural part of human interaction. However, enabling robots to appropriately use implicit communication in cooperative tasks remains challenging. My research addresses this through three phases: first, exploring the impact of linguistic implicatures on collaborative tasks; second, examining how robots' implicit cues for backchanneling and proactive communication affect team performance and perception, and how they should adapt to human teammates; and finally, designing and evaluating a multi-LLM robotics system that learns from human implicit communication. This research aims to enhance the natural communication abilities of robots and facilitate their integration into daily collaborative activities.

@article{zhang2025_2502.05775,
  title={ Implicit Communication of Contextual Information in Human-Robot Collaboration },
  author={ Yan Zhang },
  journal={arXiv preprint arXiv:2502.05775},
  year={ 2025 }
}