Xiaofeng Cai

University of Science and Technology Beijing

Papers

Total Citations

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About

Xiaofeng Cai is a pioneering researcher whose work bridges robotics, human-robot interaction, and the conceptual design of intelligent systems. His most-cited paper, "Robot and its living space: A roadmap for robot development based on the view of living space" (2020, 51 citations), introduces a transformative framework that reimagines robots not as isolated tools but as integral inhabitants of human environments. By redefining the "living space" as a dynamic, co-evolutionary context, Cai provides a roadmap for designing robots that adapt seamlessly to societal needs—from healthcare and elder care to customer service and diagnostics. This work has shaped discussions on ethical and functional integration of autonomous systems. Beyond this, Cai’s research explores how spatial and social factors influence robot behavior, offering foundational insights for developers and policymakers. His contributions have been cited in studies on assistive robotics and smart environments, underscoring his impact on both theory and application. For students and researchers, Cai’s vision challenges conventional engineering paradigms, urging a holistic approach where robots and humans coexist as partners in shared, evolving spaces.