Jiangtao Xue

National University of Defense Technology

Papers

Total Citations

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About

Jiangtao Xue is a researcher specializing in autonomous robotics, software architecture, and intelligent systems design. His work focuses on developing robust frameworks that enable robots to perceive, reason, and act within dynamic environments — a challenge at the intersection of artificial intelligence, software engineering, and autonomous systems. His most notable contribution, "Towards a Robust Software Architecture for Autonomous Robot Software" (2017), addresses a fundamental limitation in traditional robotic control paradigms. By critically examining the widely adopted sequential sense-model-plan-act (SMPA) architecture, Xue identifies inherent vulnerabilities in how robots respond to real-time environmental changes and proposes more resilient alternatives that better support adaptive, context-aware behavior. This work has garnered citations within the robotics and autonomous systems research community, reflecting its relevance to ongoing challenges in building reliable robot software. Xue's research contributes meaningfully to the broader goal of deploying autonomous robots in complex, unstructured real-world settings, making his work of particular interest to students and practitioners working in robot software design, autonomous decision-making systems, and human-robot interaction. His contributions help lay the groundwork for safer and more dependable autonomous systems.