Siqi Xiong

National University of Defense Technology

Papers

Total Citations

H-Index

About

Siqi Xiong is a researcher in cloud robotics and distributed computing, with a focus on optimizing task scheduling to enhance system performance. Their most cited work, "A Multi-task Scheduling Algorithm for Cloud Robots" (2019), addresses critical inefficiencies in cloud-based robotic systems, where computational tasks are offloaded to remote nodes. Xiong identified and tackled persistent challenges such as excessive task execution makespan, load imbalance across computing nodes, and low Quality of Service (QoS), proposing a novel scheduling algorithm that significantly improves execution efficiency. This contribution is foundational for advancing the reliability and scalability of cloud robot architectures, enabling more responsive and balanced resource allocation. While their citation count is currently modest, the work represents a targeted solution to a pressing problem in the field, laying groundwork for future innovations in autonomous systems and edge-cloud integration. Xiong’s research is particularly relevant for students and engineers exploring the intersection of robotics, cloud computing, and real-time scheduling, offering a clear example of how algorithmic design can directly impact system-level performance.