Max Robotics — Global Service Robot Directory + US Certification

About

Ziquan Guo is a pioneering researcher at the intersection of robotics, materials science, and human-computer interaction, with a focus on developing intelligent, adaptive interfaces for next-generation social robots. His major contributions center on creating alterable robotic skins that integrate artificial tactile sensing elements, fundamentally enhancing the perception dimension of human-robot interaction (HRI). In his highly cited 2024 work on "Alterable Robotic Skin Using Material Gene Expression Modulation" (40 citations), Guo introduced a novel design framework that balances versatility with sustainability—a critical advancement for dynamic interactive scenarios. More recently, his 2025 research on "In-Device Topological Encoding for Intelligent Multimodal Interactions" (2 citations) pushes boundaries by developing scenario-adaptive interfaces capable of touch feature recognition and external factor perception, moving beyond the limitations of traditional discrete array structures. This work enables accurate intent recognition and differential decision-making in real-time interactions. Guo's research is particularly notable for its potential to revolutionize social robotics, making machines more perceptive and responsive to human cues. His innovative approach to material gene expression modulation represents a significant leap toward truly intelligent, context-aware robotic systems that can seamlessly integrate into human environments.