Shengxi Huang

Jiangsu University, University of Liverpool

Papers

Total Citations

H-Index

About

Shengxi Huang is a rising researcher at the intersection of robotics, artificial intelligence, and security, with a focus on transforming complex, experience-driven tasks into automated systems. His primary research areas include culinary robotics—specifically the automation of traditional Chinese dish preparation—and adversarial machine learning for 3D point cloud data. Huang’s most notable contribution is his work on cooking robots for Chinese cuisine, where he addresses the challenge of replicating chef-level expertise through robotics, integrating advances in sensor technology, manipulation, and AI. This work, though recent, has already garnered 3 citations, signaling its potential impact on the food service and robotics industries. In parallel, Huang has made significant strides in 3D adversarial attacks with his Eidos framework (2024) and its expanded version (2025), which introduce efficient and imperceptible perturbations to 3D point clouds. These papers, with 1 and 2 citations respectively, highlight his dual expertise in both practical automation and security-critical AI. Huang’s work is particularly relevant for students and researchers interested in bridging robotics with cultural heritage and enhancing the robustness of perception systems.