Guochun Chen

National University of Defense Technology

Papers

Total Citations

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About

Dr. Guochun Chen is a researcher in autonomous robotics, with a primary focus on developing robust software architectures that enable intelligent, real-time decision-making in dynamic environments. His work addresses a critical challenge in robotics: how to move beyond rigid, sequential control loops to create systems that can continuously perceive, adapt, and act. Chen’s most cited paper, “Towards a Robust Software Architecture for Autonomous Robot Software” (2017, 3 citations), critiques traditional sense-model-plan-act (SMPA) architectures and proposes a more resilient framework for autonomous behavior. While his citation count is modest, this work lays foundational groundwork for integrating perception and action in unstructured settings. Chen’s contributions are particularly relevant for researchers designing software for field robots, where environmental unpredictability demands architectural flexibility. His research bridges the gap between theoretical control models and practical deployment, emphasizing the importance of constant environmental sensing in autonomous decision-making. For students and engineers, Chen’s work offers a clear entry point into understanding the architectural challenges that underpin modern autonomous systems.