Yungang Bao

University of Chinese Academy of Sciences, Institute of Computing Technology, Peng Cheng Laboratory

Papers

Total Citations

H-Index

About

Yungang Bao is a leading researcher at the intersection of robotics, cybersecurity, and cloud computing. His work primarily focuses on securing robotic systems against emerging cyber threats, particularly in cloud-connected and multi-robot environments. Bao’s most cited paper, “Novel denial-of-service attacks against cloud-based multi-robot systems” (2021, 36 citations), identifies critical vulnerabilities in collaborative robotic networks, demonstrating how adversaries can disrupt coordination and task execution. He further explores software-level risks in “Analysis and Mitigation of Function Interaction Risks in Robot Apps” (2021, 6 citations), revealing how interactions between app functions can be exploited by attackers—a threat he later addresses with a policy-based solution (2024). Beyond security, Bao contributes to practical robotics deployment, as seen in “Towards Practical Cloud Offloading for Low-cost Ground Vehicle Workloads” (2021, 2 citations), which tackles the challenge of limited onboard computation by leveraging cloud resources. His early work on inverse kinematics (2017, 18 citations) also addresses foundational challenges in robotic control. With a growing citation footprint, Bao’s research is vital for building safer, more resilient autonomous systems in an increasingly connected world.