Papers

6

Total Citations

85

H-Index

4

About

Ruining Huang is a robotics researcher whose work centers on the optimal design, dynamics, and control of robotic manipulators and legged systems. Huang’s most significant contribution lies in the kinematic optimization of parallel manipulators, with a seminal 2013 paper on optimization algorithms for kinematically optimal design accumulating 62 citations—a foundational reference in the field. Building on this, Huang developed a dynamics-based method for time-optimal smooth motion planning of the Delta robot, introducing an elliptical trajectory with a modified sine motion profile that minimizes vibration in high-speed pick-and-place applications. This work has been extended in subsequent studies, including a 2015 paper on the same trajectory profile. More recently, Huang has advanced into real-time compliance control for robotic polishing of turbine blades and learning-based walking control for bipedal robots, integrating reinforcement learning with self-sensing for environmental perception. These contributions demonstrate a sustained focus on bridging theoretical optimization with practical, high-performance robotic systems, impacting both industrial automation and autonomous locomotion.

Research Focus

Key Achievements

4
H-Index
6
Papers
85
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Optimization Algorithms for Kinematically Optimal Design of Parallel Manipulators
62 citations · 2013
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Harbin Institute of Technology, Shenzhen Institute of Information Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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