Intent Communication

Intent communication in robotics and AI focuses on enabling robots to effectively convey their intentions to humans, fostering safer and more collaborative human-robot interactions. Current research emphasizes multimodal communication (combining verbal and nonverbal cues like gaze and gestures), leveraging large language models and Bayesian filtering to interpret and predict robot actions, and developing adaptive parameter management systems for efficient distributed training. This field is crucial for advancing human-robot collaboration in diverse settings, from assistive robotics in healthcare and education to autonomous driving and industrial automation, by improving safety, efficiency, and user experience.