Papers
2
Total Citations
62
H-Index
2
About
Xiquan Mai is a leading researcher in robotics and automation, with a core focus on precision motion control and intelligent trajectory planning for industrial manipulators. His major contributions lie in advancing the performance of SCARA robots—critical tools in semiconductor manufacturing—where he pioneered a novel decoupling servo control method that integrates dynamic modeling via the Newton-Euler equation with real-time simulation and experimental verification. This work, published in 2019 and cited 32 times, directly addresses the high-speed, high-accuracy demands of wafer handling systems. Additionally, Mai has significantly improved local navigation for robots in cluttered environments by enhancing the Dynamic Window Approach (DWA). His 2021 paper, with 30 citations, introduces an algorithm that overcomes the traditional DWA’s inefficiency in dense object settings, enabling robots to perceive and react more fluently. Through these achievements, Mai bridges theoretical modeling with practical deployment, offering robust solutions that elevate both the precision and adaptability of autonomous systems. His research continues to inspire advancements in industrial robotics and mobile robot autonomy.
Research Focus
Key Achievements
Top Papers
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