Yongzheng Cong
Papers
14
Total Citations
223
H-Index
6
About
Yongzheng Cong is a versatile researcher whose work spans two distinct but equally impactful domains: low-input proteomics and intelligent robotics. In the life sciences, Cong has made significant contributions to advancing single-cell and trace-sample proteome profiling, developing innovative workflows for nanoliter-scale liquid handling and microfluidic nanodroplet sample processing. His 2020 paper on fully automated low-input proteome profiling has garnered 125 citations, establishing him as a notable voice in ultrasensitive mass spectrometry-based proteomics. His work on single-cell proteome mapping of tissue heterogeneity further underscores his commitment to pushing the boundaries of biological measurement sensitivity. In robotics, Cong has contributed broadly to control algorithms, trajectory planning, and autonomous systems. His research encompasses bounded integral terminal sliding mode control for six-degree-of-freedom industrial robots, sensorless torque estimation via Lyapunov-based observers, multi-robot path planning using deep reinforcement learning, and digital twin-based tower-climbing robot systems. His work on ROS-based dual-arm and quadruped robot platforms reflects a strong practical orientation toward real-world deployment. Together, these contributions position Cong as a multidisciplinary researcher whose expertise bridges precision bioanalytical instrumentation and advanced robotic systems engineering.
Research Focus
Key Achievements
Top Papers
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- 6Research on trajectory planning method of dual-arm robot based on ROS6 citations · 2020
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- 8Deep Reinforcement Learning-based Multi-AMR Path Planning Algorithm4 citations · 2023
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- 10Gait Planning of Quadruped Robot Based on ROS4 citations · 2020