Papers
8
Total Citations
126
H-Index
7
About
Suqin He is a robotics and control systems researcher whose work sits at the intersection of time-optimal trajectory planning, robot motion generation, and safety-constrained control. He has made significant contributions to solving one of robotics' most pressing practical challenges: generating efficient, feasible trajectories in real time for multi-axis systems used in CNC manufacturing, robotic arms, and autonomous vehicles. His most cited work, "Time Optimal Control of Triple Integrator with Input Saturation and Full State Constraints" (2020, 36 citations), established foundational theory for constrained optimal control, while his subsequent research developed both offline and online trajectory planning frameworks that balance computational speed with mathematical rigor. His 2022 paper on online time-optimal trajectory planning (31 citations) and his 2023 real-time local greedy search method (16 citations) have advanced the field by addressing the longstanding trade-off between optimality and real-time feasibility. Beyond trajectory planning, He has explored safety-critical robotics, including hierarchical safety frameworks for manipulation under uncertainty and provably safe tolerance estimation using sum-of-squares programming. With over 125 cumulative citations across his published work, He is emerging as a notable contributor to intelligent robotics and motion planning, offering tools with direct applicability in modern automated manufacturing and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Real-Time Local Greedy Search for Multiaxis Globally Time-Optimal Trajectory16 citations · 2023
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