About

Zhiyong Geng is a researcher whose work spans robotics, control systems, and geometric methods for autonomous vehicles, with particular expertise in robot dynamics, learning control, and nonholonomic systems. His early contributions in the 1990s laid important groundwork in robot manipulator control, including foundational work on learning control algorithms and dynamic modeling — notably his influential 1993 study on flexible Stewart platforms, which has accumulated 53 citations and remains a key reference in parallel manipulator research. Geng further advanced intelligent control through his development of expert learning controller architectures, blending real-time expert systems with adaptive learning for trajectory tracking applications. His later career reflects a sophisticated turn toward geometric control theory, applying Lie group frameworks — particularly the special Euclidean group SE(2) — to solve stabilization, trajectory tracking, and multi-robot formation problems for nonholonomic vehicles with global convergence guarantees. His 2011 work on articulated-leg hopping robots and earlier research on SLIP-model flight-phase stabilization demonstrate a parallel commitment to legged locomotion dynamics. Collectively, Geng's portfolio reveals a researcher who bridges classical control theory with modern geometric and learning-based approaches, making enduring contributions across manipulation, locomotion, and mobile robotics.

Research Focus

Key Achievements

9
H-Index
14
Papers
231
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A dynamic model of a flexible stewart platform
53 citations · 1993
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Intelligent Automation (United States), State Key Laboratory of Turbulence and Complex Systems, Peking University, George Washington University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago