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spsingh37/README.md

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Hi 👋 I'm Surya

💫 About Me:

I am a Research Engineer at the Computational Autonomy and Robotics (CURLY) Lab at the University of Michigan. I am passionate about developing and applying machine learning and computer vision techniques to autonomous robotic systems, with a focus on SLAM, 3D vision, perception, reinforcement learning, state estimation, and motion planning. Additionally, I enjoy exploring AI applications in other domains, such as healthcare, to drive meaningful impact.

🚀 What I'm Up To

  • 🔍 Currently looking for full-time roles
  • 🤖 Building an autonomous stack for a marine surface vehicle

🌐 Connect with me:

LinkedIn Email

💻 Tech Stack:

Languages:

Python    C++    MATLAB

Developer Tools:

Git    Visual Studio Code

Libraries/Frameworks:

PyTorch    Docker    ROS    MuJoCo    OpenCV    SolidWorks

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  1. SelfDriveSuite Public

    This is a comprehensive project focused on developing advanced algorithms for autonomous driving, including adaptive cruise control, model predictive control (MPC), and robust scene understanding i…

    Jupyter Notebook 4 1

  2. UAV-SaR-Tracking Public

    This is a ROS package designed to implement Q-learning algorithm for the autonomous navigation of unmanned aerial vehicles (UAVs) in search-and-rescue (SaR) operations. It can also be used to train…

    C++ 5 1

  3. biorobotics/Wombat_robosuite Public

    This work builds on top of mujoco-powered robosuite framework, and is designed for learning object-agnostic control policy for pick-and-place operations on a novel 6-DoF parallel manipulator using …

    Python 1

  4. Robot-Navigation-SLAM Public

    The project builds a comprehensive robotic system capable of autonomous navigation. This includes designing a feedback controller to regulate motor speed and a velocity-based movement controller, i…

    C 4

  5. KinoVision Public

    This is a comprehensive project aimed at developing computer vision algorithms integrated with the kinematics of a 5-DOF manipulator. The project focuses on detecting and manipulating blocks within…

    HTML 2

  6. 3D_Liver_Tumor_segmentation Public

    This project compares the performance of UNet, ResUNet, SegResNet, and UNETR architectures on the 2017 LiTS dataset for liver tumor segmentation. We evaluate segmentation accuracy using the DICE sc…

    Jupyter Notebook 7 1

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March 2025

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