Shuyuan Yang

Shuyuan Yang

M.S. in Computer Science, Case Western Reserve University

Application of Microblog Data Mining Based on k-means Algorithm

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Published:

This project used a web crawler to collect a certain range of data. Natural language processing (NLP) techniques were employed for embedding the raw data, making it fit the k-means clustering algorithm. To enhance the clustering performance, a user feature model was constructed by the principal component analysis (PCA). The project applied the k-means clustering algorithm to categorize user data effectively

Distribution of K-mesns clusters

distribution

Flow chart of whole project

structure

User Interface

interface

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Vision-based Force Estimation of Surgical Robot

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In scenarios where access to robot kinematic and camera parameters data is not available, this research devises an alternative approach to estimate a normalized 3D end-effector position from video data based on extracted keypoints from DeepLabCut. The movement of the end-effector is tracked from stereoscopic video of the surgical robot and then deep neural network (DNN) and graph neural network (GNN) are used to estimate the relative depth of the end-effector.

Fighting Robot Project in TYUT Robot Team

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This was a 4 kg-class combat robot series competition, where I led a team of five to design and manufacture several wheeled robots. The contest had a set of specifications for robot size and technology, for instance, the robot’s projection size before starting couldn’t exceed 300mm x 300mm, and it was required to autonomously climb onto a 60mm high platform. Most crucially, the competition prohibited remote control of the robots, all movements and behaviors were based on sensors and microprocessors. In the summer of 2018, after overcoming many challenges, we achieved second place (first prize) in this project.