Jikun Ai
Papers
5
Total Citations
34
H-Index
3
About
Jikun Ai is at the forefront of advancing high-performance robotics through innovative design and control strategies. His research focuses on the integration of generative design with kinematic and dynamic factors to create optimized structures for additive manufacturing, as well as the development of robust control systems for hydraulically actuated quadruped robots. Ai’s major contributions include pioneering methods for improving impact resistance in robotic joints using Active Disturbance Rejection Control, and designing lightweight, modular hydraulic robots with exceptional payload-to-mass ratios. His work on a novel hydraulic swing actuator with high torque density addresses critical challenges in legged robot locomotion. With his most-cited paper, “Integrating kinematic and dynamic factors with generative design for high-performance additive manufacturing structures” (2025, 13 citations), Ai demonstrates a clear impact on the field, offering solutions that bridge the gap between theoretical design and practical, dynamic performance. His achievements in creating more resilient, efficient, and powerful robotic systems are paving the way for applications in disaster rescue, unmanned exploration, and beyond.
Research Focus
Key Achievements
Top Papers
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