Papers
2
Total Citations
26
H-Index
2
About
Dexi Ye is a rising researcher in the field of robotics, with a primary focus on advancing robot–environment interaction through intelligent control systems. His work centers on developing hybrid control strategies that seamlessly integrate impedance and admittance control, enabling robots to perform contact-rich tasks with optimal force and position tracking in complex, unknown environments. In his highly cited 2023 paper, "Hybrid impedance and admittance control for optimal robot–environment interaction," which has garnered 24 citations, Ye introduced a novel framework that balances compliance and precision, addressing a critical challenge in robotic manipulation. His subsequent 2024 work, "Hybrid variable admittance force tracking and fixed-time position control for robot–environment interaction," further refines these concepts by incorporating variable admittance and fixed-time control for enhanced performance. With a growing citation impact, Ye’s contributions are laying the groundwork for more adaptive and robust robotic systems, promising significant advancements in automation, manufacturing, and assistive technologies.
Research Focus
Key Achievements
Top Papers
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