Papers
6
Total Citations
44
H-Index
3
About
Si Huang is a rising leader in intelligent robotic manufacturing, specializing in dual-arm cooperative robots, precision force control, and adaptive trajectory optimization. His most impactful work, the 2023 paper on multi-objective adaptive trajectory optimization under acceleration continuity constraints, has already garnered 24 citations, establishing a foundation for smoother, more efficient industrial robot motion. Huang made a significant contribution by designing a novel high-stiffness 6-DOF dual-arm robot (DAR) that overcomes the poor absolute positioning accuracy of traditional serial arms through a re-optimized kinematic structure, directly enabling blade polishing applications. His recent advances include an adaptive optimal admittance control method for robotic precision grinding, leveraging an improved normalized advantage function to handle contact impacts and uncertain environments, and a Pareto-optimal fractional-order admittance control approach that outperforms traditional integer-order models in precision machining. Huang has also pioneered an RGB-based set prediction transformer for 6D pose estimation of textureless objects, enabling robotic grasping without depth sensors. With a focused portfolio spanning 2023–2025, his work is driving the next generation of high-stiffness, force-sensitive, and vision-guided robotic systems for advanced manufacturing.
Research Focus
Key Achievements
Top Papers
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