Xin Guo

About

Xin Guo is an innovative robotics and automation researcher whose work spans the intersection of bio-inspired engineering, soft robotics, and agricultural automation. Drawing inspiration from nature's most remarkable creatures, Guo has contributed to the development of cutting-edge robotic systems designed to tackle real-world challenges in demanding environments. Among Guo's most notable contributions is collaborative work on a soft robotic gripper inspired by the glowing sucker octopus (*Stauroteuthis syrtensis*), published in *Advanced Science* in 2022. This groundbreaking system replicates the octopus's unique membrane-enhanced grasping architecture, enabling adaptive underwater manipulation and integrated sensing — a significant advancement for marine robotics and underwater exploration. The work has garnered 13 citations, reflecting its impact within the soft robotics community. Guo has also applied engineering expertise to practical agricultural challenges, contributing to the design of a four-degree-of-freedom manipulator for camellia pollen harvesting — addressing a critical gap in agricultural mechanization and reducing the physical burden of manual labor for farmers. Collectively, Guo's research demonstrates a compelling ability to translate biological principles and engineering precision into functional, socially relevant robotic solutions, making meaningful contributions to both advanced robotics and smart agriculture.

Research Focus

Key Achievements

Top Papers

1. 1
   Glowing Sucker Octopus (<i>Stauroteuthis syrtensis</i>)‐Inspired Soft Robotic Gripper for Underwater Self‐Adaptive Grasping and Sensing (Adv. Sci. 17/2022)

   13 citations · 2022
2. 2
   Optimal Design and Experiment of Manipulator for Camellia Pollen Picking

   2 citations · 2022

Key Collaborators

Contact & Links