Multimodal communication is a key component of C-HRI, enabling robots to interact with humans using multiple https://c-hri.org/ channels simultaneously. These channels include speech, gestures, facial expressions, and visual cues.
By combining different communication modes, robots can better understand human intentions and reduce misinterpretation. This approach increases interaction accuracy, especially in complex or noisy environments.
Speech recognition allows verbal commands, while gesture recognition supports non-verbal interaction. Visual feedback, such as lights or displays, helps confirm robot actions to users.
Multimodal systems adapt to user preferences and situational contexts. Flexibility improves usability and user comfort during interaction.
Through multimodal communication, C-HRI systems become more natural and intuitive. This enhances trust and long-term collaboration between humans and robots.