Zixi Xu

National University of Defense Technology

Papers

Total Citations

H-Index

About

Zixi Xu is a robotics software researcher whose work focuses on the design and implementation of robust software architectures for autonomous robotic systems. Operating at the intersection of artificial intelligence and software engineering, Xu has made meaningful contributions to how autonomous robots perceive, adapt to, and interact with dynamic real-world environments. A central theme running through their research is the challenge of robust plan execution — ensuring that robots can reliably accomplish assigned tasks even in the face of environmental uncertainty and change. Xu's most notable contributions include the development of an "accompanying behavior model," which advances how robots maintain awareness of plan execution status, and a proposed architectural alternative to the traditional sequential sense-model-plan-act (SMPA) paradigm. These works, both published in 2017, address fundamental limitations in conventional robot control architectures by enabling more responsive and adaptive behavior in autonomous systems. While still early in citation impact, with each paper garnering 3 citations, Xu's research lays important theoretical and practical groundwork for future advances in autonomous robot software design. Their work will be of particular interest to students and researchers exploring cognitive architectures, behavior-based robotics, and the software engineering challenges inherent in deploying autonomous systems in unstructured environments.