Xun Cao

Papers

Total Citations

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About

Xun Cao is a researcher at the forefront of green computing and cloud robotics, focusing on the intersection of sustainable software engineering and autonomous systems. His most-cited work, "A novel green software evaluation model for cloud robotics" (2017, 19 citations), introduces a pioneering framework that assesses the environmental impact of software in cloud-based robotic systems. This contribution is critical as robotics and cloud computing expand, offering a systematic approach to reducing energy consumption and carbon footprints in intelligent automation. Cao’s research addresses the growing need for eco-friendly technology, bridging the gap between software efficiency and robotic performance. His work has been recognized for its practical implications, influencing subsequent studies in sustainable computing and cloud robotics optimization. By proposing evaluation metrics that balance functionality with environmental responsibility, Cao provides a foundational tool for researchers and engineers aiming to design greener, more efficient robotic systems. His contributions underscore a commitment to advancing technology that is both innovative and environmentally conscious, making him a notable voice in the push toward sustainable AI and robotics.