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aniketmpatil/README.md

Welcome to my GitHub page! 👋 - Aniket Manish Patil

Hi, I’m Aniket Manish Patil — a Research Engineer in the Computer Vision team at Magna New Mobility, where I work on vision-based perception modules for a Last-Mile Delivery Robot. My work spans Traffic Light Recognition, Camera Calibration, Depth Estimation, and 3D Scene Reconstruction, supporting the reliable deployment of autonomous systems.

🔹 I hold a Master’s in Robotics Engineering from WPI, where I focused on minimalistic vision-based navigation for compact aerial robots with on-board sensing and compute.
🔹 Earlier, I gained 2+ years of diverse experience as a Machine Learning Developer, Hardware Interface Intern, and Robotics Intern at start-ups in India, working on projects in robotics, image processing, ML, and CAN-based automotive systems.

I’m passionate about advancing robotics perception and autonomy by bridging research and real-world deployment. Here you’ll find my projects and contributions in computer vision, robotics software, and autonomous systems.

Contact 📫


Research Publications 🔭

  • Aniket Patil, Mandeep Singh, Uday Girish Maradana and Nitin J. Sanket, "MinNav : Minimalist Navigation Using Optical Flow For Active Tiny Aerial Robots" (under review ICRA) - Project Webpage

Key Projects 🔭


aniketmpatil

My github stats

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  1. Tensor-Robotics/navigation_stack Tensor-Robotics/navigation_stack Public

    This C++ and ROS2 based package consists of localization and path planning modules for a custom navigation stack built from ground up.

    C++

  2. Visual-Odometry Visual-Odometry Public

    Implementation of Stereo Visual Odometry using Classical Computer Vision techniques on KITTI Benchmark Dataset

    C++ 1 3

  3. Classical-SfM Classical-SfM Public

    Implementation of Classical Structure from Motion pipeline

    Python 1

  4. sfml sfml Public

    Research Implementation of the code for the SFMLearner paper in Pytorch

    Python

  5. semantic_segmentation semantic_segmentation Public

    Semantic Segmentation of LiDAR Point Cloud for Autonomous Vehicles. Implementation using RangeNet architecture as baseline model.

    Python 4 1

  6. RL-Highway-Env-Project RL-Highway-Env-Project Public

    Implementation of Reinforcement Learning algorithms on the OpenAI Gym Highway-Environment

    Python 7 1