Chenwei Gong

Italian Institute of Technology, Xi'an Jiaotong University

Papers

Total Citations

H-Index

About

Chenwei Gong is a researcher whose work bridges the frontiers of artificial intelligence and robotics, with a primary focus on intelligent automation, human-robot interaction, and personalized financial technology. Gong’s most notable contribution is the pioneering concept of "Investment Advisory Robotics 2.0," which leverages deep neural networks to deliver personalized financial guidance—a forward-looking approach that has already garnered 14 citations since its 2025 publication. This work addresses the critical challenge of adapting complex financial advice to individual needs through AI. In robotics, Gong has made significant strides in learning from human demonstration, introducing a novel framework that simultaneously learns motion, stiffness, and force using Riemannian Dynamic Movement Primitives and quadratic programming optimization (5 citations). This enables robots to replicate nuanced human skills from a single demonstration. Further advancing robotic dexterity, Gong developed a friction-aware assembly method for peg-in-hole tasks using contact wrench measurement (2 citations). By combining deep learning with robotic control, Gong’s research demonstrates a unique ability to translate complex human expertise into machine-executable intelligence, with clear applications in both service robotics and fintech automation.