Jian-wei Ma
Papers
8
Total Citations
112
H-Index
3
About
Jian-wei Ma is a leading researcher in robotics and intelligent manufacturing, whose work is reshaping how robots handle complex, high-precision tasks. His primary research areas include robot-assisted machining, trajectory planning, and kinematic calibration, with a particular focus on thin-walled and large-scale components. Ma’s most impactful contribution is a novel approach to time-optimal trajectory planning that simultaneously respects torque and jerk limits, a method that has garnered 68 citations and is foundational for safe, high-speed robot motion. He has also pioneered auxiliary support path planning for machining non-uniform, closed-section thin-walled parts, enabling robots to maintain accuracy where traditional methods fail. His work on convolution-based velocity smoothing for real-time parametric curve interpolation addresses a critical bottleneck in multi-axis systems, allowing smoother speed regulation without repeated calculations. With over 110 cumulative citations, Ma’s innovations in kinematic parameter identification and error compensation have significantly advanced the absolute positioning accuracy of industrial robots, making them viable for high-stakes manufacturing. His recent studies on flexible grinding of composite materials and five-axis toolpath re-scheduling further demonstrate his commitment to solving real-world industrial challenges, solidifying his reputation as a key figure in modern robotic manufacturing.
Research Focus
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Top Papers
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