The increasing demand for autonomous systems in consumer and service sectors is driving innovation in human-robot interaction. As robots move from controlled environments to dynamic, multi-person settings, the ability to engage naturally and effectively becomes paramount. This technology meets the urgent need for sophisticated conversational AI, crucial for enhancing user experience and overcoming current limitations in robot deployment across diverse global markets.
Filters out TV audio, enabling clear user-specific voice capture for accurate dialogue in noisy environments.
Estimates user behavior via a learning model, facilitating natural speech timing and uninterrupted, human-like communication.
Identifies multiple users simultaneously, prioritizing interaction with less vocal participants to ensure equitable and inclusive dialogue.
This patent provides robust protection for key components of speech control in multi-user robot dialogue, covering a broad scope across 8 claims. Its novelty and inventiveness were thoroughly established against five prior art documents during examination, ensuring a stable and defensible right for licensees to gain a clear competitive advantage.
While this patent secures core multi-user speech control, licensees could build additional IP in areas such as advanced emotional AI integration, proactive task execution based on inferred user intent, or novel multi-modal output beyond speech, without conflict.
Assuming deployment of guidance and customer service robots in large commercial facilities. This technology enables robots to autonomously conduct appropriate dialogue in multi-person environments, estimated to reduce human operator monitoring and intervention costs by 20% annually. For a department with annual personnel costs of ~$850K (AI est.), this technology could achieve annual cost savings of ~$170K (AI est.) (~$850K × 20%). Furthermore, improved customer satisfaction leading to better repeat rates could generate tens of millions in sales, with the overall economic value estimated to exceed ~$350K (AI est.) annually.
X: Dialogue Naturalness & Contextual Understanding
Y: Multi-User Capability