Seamless Communication is a research project focused on building more integrated, low-latency multimodal communication between humans and AI agents. The motivation is to move beyond “text in, text out” and enable direct, live, multi-turn exchange involving language, gesture, gaze, vision, and modality switching without user friction. The system architecture includes a real-time multimodal signal pipeline for audio, video, and sensor data, a dialog manager that can decide when to act (speak, gesture, point) or query, and a cross-modal reasoning layer that fuses perception with semantic context. The research prototype includes components for visual grounding (understanding when a user references something in view), gesture recognition and synthesis, and turn-taking mechanisms that mirror human conversational timing. Because latency and synchronization are critical, the codebase invests in asynchronous scheduling, overlap of perception and reasoning, and fast fallback responses.
Features
- Real-time pipeline for audio, video, sensor fusion and synchronization
- Dialogue manager coordinating actions, queries, gestures, and speech
- Visual grounding to resolve references to objects in view
- Gesture recognition and synthesis to complement verbal output
- Asynchronous scheduling to minimize latency and support overlap
- Demo scenarios for collaborative tasks in shared spatial or AR settings
Project Samples
