Papers
42
Total Citations
1,203
H-Index
20
About
Shuang Cong is a pioneering researcher at the intersection of artificial intelligence, robotics, and chemistry, whose work has garnered over 700 citations. Her research spans three transformative areas: AI-driven chemical automation, cable-driven parallel robots (CDPRs), and intelligent robotic grasping. Cong’s most celebrated contribution is the development of an “all-round AI-Chemist”—a robotic system that autonomously conducts chemical experiments, from synthesis to analysis, achieving 163 citations. In a landmark 2023 study (114 citations), she demonstrated the automated synthesis of oxygen-producing catalysts from Martian meteorites, a breakthrough with profound implications for space exploration. In robotics, Cong has revolutionized CDPR control through innovative synchronization and adaptive control strategies, with papers accumulating 78, 71, and 49 citations. Her work on second-order sliding-mode control and cross-coupled coordination addresses the fundamental challenge of maintaining cable tension during high-speed motion. Additionally, her multilevel convolutional neural networks for robotic grasping (56 citations) enable both parallel grippers and dexterous hands to handle unknown objects with remarkable accuracy. Cong’s achievements exemplify how interdisciplinary research can push boundaries—from enabling autonomous laboratories to advancing robotic manipulation in extreme environments.
Research Focus
Key Achievements
Top Papers
- 1An all-round AI-Chemist with a scientific mind163 citations · 2022
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- 3Synchronization Control in the Cable Space for Cable-Driven Parallel Robots78 citations · 2018
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- 6Geometry-Based Trajectory Planning of a 3-3 Cable-Suspended Parallel Robot50 citations · 2016
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