{"id":5115,"date":"2026-01-12T11:41:49","date_gmt":"2026-01-12T11:41:49","guid":{"rendered":"https:\/\/cognitionconferences.com\/robotics\/?post_type=speaker&#038;p=5115"},"modified":"2026-01-12T11:44:59","modified_gmt":"2026-01-12T11:44:59","slug":"5115","status":"publish","type":"speaker","link":"https:\/\/cognitionconferences.com\/robotics\/speaker\/5115\/","title":{"rendered":"Yu Dongxing"},"content":{"rendered":"<div data-emailtracker-detector=\"1\" data-olk-copy-source=\"MessageBody\">ABSTRACT<\/div>\n<div data-emailtracker-detector=\"1\"><\/div>\n<div data-emailtracker-detector=\"1\">The rapid advancement of robotics and automation demands a fundamental rethinking of how artificial agents perceive, process, and respond to human interaction. This presentation introduces a novel theoretical and applied framework for developing embodied AI consciousness in robotic systems, drawing upon interdisciplinary insights from cognitive science, linguistics, and educational technology.<\/div>\n<div data-emailtracker-detector=\"1\">Building on our recent research on adaptive token boundaries and human chunking mechanisms in multimodal large language models (LLMs), this study proposes a phased approach to functional organization in robotic cognition. The framework integrates three core components: (1) Adaptive Sensory Fusion, enabling robots to process multimodal inputs (visual, auditory, tactile) in ways that mirror human perceptual chunking; (2) Embodied Learning Architecture, grounding AI cognition in physical interaction through continuous feedback loops; and (3) Intersubjective Communication Protocols, facilitating natural and context-aware human-robot dialogue.<\/div>\n<div data-emailtracker-detector=\"1\">We present empirical findings from our Educational Metaverse platform and VR-based training systems, demonstrating how tactile intelligence and mixed reality environments can enhance robotic learning and human-robot collaboration. Specifically, we showcase applications in educational robotics, where AI-driven systems adapt to learner behavior through real-time cognitive modeling.<\/div>\n<div data-emailtracker-detector=\"1\">The presentation concludes with a discussion of ethical considerations, the role of cultural context in human-robot interaction design, and future directions for achieving functional consciousness in next-generation robotic systems. This research contributes to the conference theme by bridging theoretical innovation with practical applications in robotics and automation.<\/div>\n<div data-emailtracker-detector=\"1\"><\/div>\n<div data-emailtracker-detector=\"1\">Keywords: Embodied AI, Human-Robot Interaction, Multimodal LLMs, Tactile Intelligence, Educational Robotics, AI Consciousness, Sensory Fusion, Adaptive Learning<\/div>\n","protected":false},"featured_media":5113,"template":"","meta":{"_acf_changed":false},"schedule":[],"speaker-category":[],"class_list":["post-5115","speaker","type-speaker","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Yu Dongxing - Cognition Conferences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cognitionconferences.com\/robotics\/speaker\/5115\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Yu Dongxing - Cognition Conferences\" \/>\n<meta property=\"og:description\" content=\"ABSTRACT The rapid advancement of robotics and automation demands a fundamental rethinking of how artificial agents perceive, process, and respond to human interaction. 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