Peichang Shi

National University of Defense Technology

Papers

Total Citations

H-Index

About

Peichang Shi is a leading researcher in cloud robotics, focusing on how to overcome the inherent computational and storage limitations of individual robots by leveraging cloud computing resources. His foundational work, "Toward QoS-Aware Cloud Robotic Applications: A Hybrid Architecture and Its Implementation" (2016, 19 citations), introduced a novel hybrid architecture that ensures quality of service for robotic tasks offloaded to the cloud, directly addressing the critical challenge of latency and reliability in real-time robotic operations. Shi further advanced the field by developing systematic methods for migrating resource-intensive robotic software packages to the cloud, as detailed in his 2016 paper (10 citations), which simplified the complex process of building cloud-based robotic services. His most recent contribution, "Cooperative Offloading for Multiple Robot Applications" (2020, 5 citations), tackles the unique problem of coordinating computation offloading among multiple robots—a significant departure from traditional mobile device offloading. This work is particularly notable for its focus on multi-robot collaboration, a key enabler for scalable and efficient robotic fleets in industrial and service applications. With a cumulative impact of over 34 citations, Shi’s research provides the theoretical and practical foundations for the next generation of intelligent, cloud-augmented robotic systems.