Max Robotics — Global Service Robot Directory + US Certification

About

Yushan Pan is a pioneering researcher at the intersection of human-robot interaction, multimodal AI, and industrial automation. Their work addresses critical challenges in how humans and robots communicate, collaborate, and coexist—from factory floors to public spaces. Pan’s most influential paper, “Text-guided deep correlation mining and self-learning feature fusion framework for multimodal sentiment analysis” (2025, 8 citations), introduces a novel AI framework that fuses text, audio, and visual cues to understand human emotions, pushing the boundaries of affective computing. In a groundbreaking study on robot responses to user bullying (2024, 7 citations), Pan explores how robots can de-escalate harmful behaviors through optimized, context-aware replies—a vital contribution as robots enter public service roles. Their work on human-robot collaboration in industrial applications (2023, 6 citations) tackles real-world challenges in part identification and transport, enhancing production efficiency. Pan also explores hands-free robot dog interaction via augmented reality (2023) and VR-enhanced teleoperation of unmanned ground vehicles (2024), expanding the design space for remote robot control. With a growing citation record and a focus on socially aware, resilient robotic systems, Pan is shaping the future of safe, empathetic, and efficient human-robot partnerships.