Papers
1
Total Citations
11
H-Index
1
About
Haiying Sun is a leading researcher in robotics and autonomous systems, with a primary focus on secure motion planning and resilient control for mobile robots operating under adversarial conditions. Her most impactful work introduces a groundbreaking framework that leverages generative adversarial networks (GANs) to enable robust motion planning against localization attacks—a critical vulnerability in real-world robotic deployments. This 2023 study, already garnering 11 citations, demonstrates how GAN-based models can predict and counteract malicious perturbations to a robot’s state estimation, ensuring safe navigation even when sensors are compromised. Sun’s contributions bridge the gap between cybersecurity and robotics, offering practical defenses against spoofing and jamming attacks that threaten autonomous vehicles and industrial robots. Her research is widely recognized for its innovative use of adversarial training to enhance system resilience, opening new avenues for trustworthy automation. By addressing both theoretical foundations and real-time implementation challenges, Sun’s work has become essential reading for engineers and researchers developing secure, attack-tolerant robotic systems in logistics, surveillance, and smart manufacturing.
Research Focus
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Top Papers
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