Yuanxing Liu
Papers
1
Total Citations
9
H-Index
1
About
Yuanxing Liu is a pioneering researcher in Embodied Artificial Intelligence (EmboAI), a field that bridges the gap between disembodied algorithms and intelligent robotic behavior in the physical world. His landmark survey, "Embodied AI: A Survey on the Evolution from Perceptive to Behavioral Intelligence" (2025), has already garnered 9 citations, establishing a foundational framework for understanding how AI systems transition from passive perception to active, situated decision-making. Liu's work critically examines the limitations of traditional AI—which operates in abstract, data-driven environments—and advocates for architectures that integrate perception, cognition, and physical action. By synthesizing advances in robotics, computer vision, and reinforcement learning, he has helped define the roadmap for creating robots that can adapt, learn, and interact autonomously in unstructured real-world settings. His contributions are particularly influential for researchers developing autonomous systems, from household assistants to industrial manipulators. Liu’s survey serves as an essential reference for students and scientists alike, offering a clear taxonomy of the field’s evolution and highlighting key challenges—such as sensorimotor coordination and continual learning—that will shape the next generation of embodied intelligence.
Research Focus
Key Achievements
Top Papers
- 1