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Runze Zuo

Current Ph.D. Student @ University of Michigan MechEng

B.S. University of Toronto, Department of Electrical & Computer Engineering

Research | Runze Zuo: Welcome

Resarch Spotlight

Compact Underwater Robot with Depth Independent Hydraulic Powered Soft Gripper

Runze Zuo, Z Zhou, Z Qin,

P Pan, S Wang, B Ying, and X Liu

Under Preperation 2022

To address the challenges in constraint space soft manipulation, we propose and demonstrated an extremely compact, highly integrated underwater robot system with soft manipulation and propeller-based locomotion. The robot is capable of navigating to the target and retrieving it to the host (ROV, manned submarine, etc.) while the host does not need to move. The experiment result shows that our robot can serve as a novel substitution for the robotic arm + soft gripper configuration, greatly extending the working radius of the underwater sample collection system, and allowing them to operate smoothly in the constraint spaces.

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A Soft Robotic Gripper with Anti-Freezing Ionic Hydrogel-Based Sensors for Learning-Based Object Recognition

Ruunze Zuo, Z Zhou, B Ying, X Liu

ICRA 2021

Soft robotic grippers possess high structural compliance and adaptability for grasping objects with unknown and irregular shapes and sizes. To enable more dexterous manipulation, soft sensors with similar mechanical properties to common elastomer materials are desired to be integrated into soft grippers. In this paper, we develop ionic hydrogel-based strain and tactile sensors and integrate these sensors into a three-finger soft gripper for learning-based object recognition. Such hydrogel-based sensors have excellent conductivity, high stretchability and toughness, good ambient stability, and unique anti-freezing property, and can be readily attached to a soft gripper at desired locations for strain and tactile sensing. Based on a deep-learning model, we demonstrate the capability of the sensory soft gripper for object grasping and recognition at both room and freezing temperatures and achieve high recognition accuracy close to 100\% for 10 typical objects. The ionic hydrogel-based sensors could also find other important applications in sensing and control of soft robotic systems.


Handheld Electrochemical Workstation

Runze Zuo

Technical Project, Unpublished


This handheld electrochemical workstation can perform a wide variety of tests such as frequency sweep, [more functions in progress]. The system utilizes a touchscreen display as the input method, powered by a lithium polymer battery rechargeable via USB-C port, loaded with an onboard file system, data processing software, and data presentation tools. Also, a powerful, easy-to-use C library for adding an interactive component to the system is developed. The user can create their own test procedure pages within few lines of code.

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Research | Runze Zuo: Research

ICRA 2021 Project Demonstration Video

Research | Runze Zuo: Video

Swimming Gripper Demonstration Video

Research | Runze Zuo: Video

Contact Me

Email: zuorunze[at][guesswhat?]

Research | Runze Zuo: Contact
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