Papers
3
Total Citations
33
H-Index
3
About
Yida Guo is a rising researcher at the forefront of robotics and intelligent control systems, with a primary focus on adaptive control, human-robot interaction, and bio-inspired soft robotics. Their major contributions include developing a sampled delayed output extended state observer-based adaptive feedback control for robot manipulators, which addresses the challenge of unknown dynamics in real-world applications—a paper that has garnered 17 citations since 2023. Guo further advanced the field of physical human-robot interaction by proposing a learning-based adaptive optimal impedance control framework, cited 13 times, which enhances safety and performance in collaborative tasks. Notably, their most recent work introduces a sea turtle-inspired magnetic soft robot capable of versatile land-to-submerged locomotion, a groundbreaking achievement published in 2025 that demonstrates innovative biomimetic design for amphibious applications. Though early in their career, Guo’s research has already shown significant impact, with their work bridging theoretical control methods and practical robotic systems. Their achievements highlight a promising trajectory in creating adaptive, intelligent, and nature-inspired robotic solutions for complex environments.
Research Focus
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