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What's up, buttercup?

Tianyi's Instagram Tianyi's LinkedIn Tianyi's Website Tianyi's Email Tianyi's CV

About Me

Hello! I'm Tianyi! I'm a robotics researcher at DSO National Laboratories, in Singapore 🇸🇬.

I have a MSc in Robotics, Systems, and Control from ETH Zurich, and a BEng in Electronic and Information Engineering from Imperial College London.

I am passionate about robotics — the union of computing, mathematics, electrical and mechanical engineering and more.

Skills

I am fluent in Python and C++. From various projects, internships and coursework, I also have experience in ROS(2) and Fusion 360.

I'm currently working on

  • World domination! Just kidding.

Recent highlights

  • Master's Thesis on pose-graph optimization for large-scale SLAM. Publication coming soon...
  • Competing at ICRA23, ICRA24 and IROS24 F1TENTH Autonomous G 5D35 rand Prix races with the ForzaETH team. We managed to win first place in 2023 and delivered strong 3rd place finishes in both 2024 races!
  • Helping to develop perception for L4 autonomous trucks with Embotech as part of the Safety, Systems, and Engineering team.
  • A Monocular Visual Odometry (VO) pipeline with elements from OpenCV, built in Python. This was coursework for the Vision Algorithms for Mobile Robotics course at UZH.
  • A path planner for autonomous cars using the RRTx algorithm. This was coursework for the Planning and Decision-Making for Autonomous Robots course at ETH. Check it out here.
  • My Final Year Project at Imperial College on Multi-Robot path planning using a variation of the Dynamic Window Approach. The algorithms are written in Python and simulated in ROS/Gazebo. Check it out here!
  • I was also involved in Imperial's Formula Student Artificial Intelligence competition where we hope to get our vehicle to autonomously detect and drive around a closed circuit demarcated by cones. Check out the organization on LinkedIn and GitHub.

credit - Abhishek Naidu's excellent tutorial

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