Canghua Jiang
Papers
4
Total Citations
37
H-Index
4
About
Canghua Jiang is a researcher whose work bridges computational optimization, robotics, and control systems. His primary research areas include optimal control for differential-algebraic systems, robot trajectory planning, and adaptive control for free-flying robots. Jiang’s most notable contribution is the development of a sequential computational approach using efficient implicit Runge–Kutta integration for solving optimal control problems, a paper that has garnered 13 citations and laid groundwork for more efficient numerical methods. He further advanced this field with an adjoint computational method incorporating lifted IRK integrators and exact penalty functions to handle continuous inequality constraints, addressing a key limitation in adjoint approaches. In robotics, Jiang has made significant strides in adaptive Jacobian force/position tracking for space free-flying robots, achieving prescribed transient performance—a critical advancement for autonomous space operations. His work on dual-arm robot trajectory planning using ROS (Robot Operating System) demonstrates his commitment to practical, intuitive development frameworks for complex robotic systems. With over 37 citations across his most-cited works, Jiang’s research continues to influence both theoretical optimization and applied robotics, offering efficient solutions for real-world control challenges.
Research Focus
Key Achievements
Top Papers
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- 3Research on trajectory planning method of dual-arm robot based on ROS6 citations · 2020
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