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varunvupparige/README.md

👋 Hi, I’m Varun Vupparige (LinkedIn), a Algorithm Development Engineer at The Goodyear Tires and Rubber Co, developing dynamics and state estimation algorithms to enable intelligent tires. Previously, I developed control algorithms for Steer-by-wire systems at Nexteer Automotive. I completed my master's degree in Controls and Robotics from the University of California, San Diego. Outside of work, I love cooking, watching soccer and playing badminton.

  • 🌱 I am a Controls and Robotics engineer with more than 4 years of industry experience in designing, developing, testing, and deploying more than five products across diverse sectors including Robotics, Medical, Automation, and Automotive. I'm passionate about developing and deploying real-world autonomous systems that contribute to the greater good!

  • 🔭 During my graduate studies, I worked at the Autonomous Vehicle Lab headed by Dr. Henrik Christensen on obstacle avoidance and overtaking using a Gaussian Process Motion Planner. (AVL)

  • 👯 I developed a keen interest in product development while working in a Formula SAE team during my undergrad at RV College of Engineering, Bengaluru. My professional industry experience at Noccarc Robotics, an early-stage startup making ICU ventilators (featured in the book "The Ventilator Project"), in a fast-paced, innovation-driven environment has laid a strong foundation in product development. These experiences of solving diverse problems through computational and experimental approaches have deepened my understanding of building products and solving engineering problems

  • ⚡ During my master’s degree, I specialized in Robotics and Controls and I’ve done projects exploring different motion planning, controls, trajectory optimization, stability analysis and state estimation techniques for safe autonomous systems. Please check out different projects from my GitHub profile!

  • 📫 How to reach me: varunvupparige@gmail.com, +18583195795

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  1. AutonomousVehicleLaboratory/obstacle-overtaking-gpmp2 AutonomousVehicleLaboratory/obstacle-overtaking-gpmp2 Public

    HTML 2 1

  2. Particle_Filter_SLAM Particle_Filter_SLAM Public

    The project was aimed at building a map along with simultaneous localization of the robot based on data from the encoder, fiber opto gyro and 2D lidar sensors. The localization was done by implemen…

    Python 2

  3. KUKA-youBOT-Motion-and-Control KUKA-youBOT-Motion-and-Control Public

    In this project, a control algorithm is constructed to plan a trajectory, simulate the control action of youBot (a mobile base with four meconium wheels and a 5R robot arm), to complete a task that…

    MATLAB 1

  4. Optimal-Control-for-Trajectory-Tracking Optimal-Control-for-Trajectory-Tracking Public

    Designed a control policy for a differential-drive robot (red triangle) to track a reference trajectory (cyan crosses) while avoiding two circular obstacles by solving a discounted infinite horizon…

    Jupyter Notebook 2 1

  5. -Search-based-planning-for-moving-target -Search-based-planning-for-moving-target Public

    Implemented weighted-A* for a given set of 2D environments with obstacles to intercept a moving goal. Parameters were varied to compare their effects on the quality of the computed path and the ove…

    Python 2

  6. Qualcomm-RB5-Mobile-Robot-CSE-276A- Qualcomm-RB5-Mobile-Robot-CSE-276A- Public

    Qualcomm RB5 AI Robot OS is an robot operating system (ROS) stack for Qualcomm RB5 Omni-directional Mobile Robot. It is designed to have a "iRobot-Roomba"-liked robotics system

    CMake