Aniket Patil aniketmpatil

Robotics (ROS2 / C++) Intern, Trossen Robotics | C++/Python | Computer Vision | Deep Learning | MS Robotics Engineering WPI, MA

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Overview Repositories 14 Projects Packages Stars 29

Overview
Repositories
Projects
Packages
Stars

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 📫

Website: https://aniketmpatil.github.io/
LinkedIn: aniket_patil97
Email: [apatil2 at wpi dot edu]

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 🔭

Custom Localization and Navigation Stack for Autonomous Vehicles - (C++)
Stereo Visual Odometry (Computer Vision, C++)
Classical Structure from Motion Implementation (Computer Vision, Python)
NeRF (Computer Vision, Deep Learning, Python)
Depth and Pose Estimation from Monocular Camera Motion
(Research with PeAR Group, analysis on SFMLearner and other implementations)
Semantic Segmentation of LiDAR Point Cloud for Autonomous Vehicles (Deep Learning, Computer Vision, Python)
Reinforcement Learning for Lane Keeping and Obstacle Avoidance of Autonomous Vehicles
(Reinforcement Learning, Python)
SCARA Robot ROS Package (Robot Kinematics, ROS, C++, Python)
Human-Aware Robot Navigation (Motion Planning, ROS, Python)
Visual Servoing ROS Package (Vision Based Manipulation, Python)

Pinned Loading

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++
Visual-Odometry Visual-Odometry Public

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

C++ 1 3
Classical-SfM Classical-SfM Public

Implementation of Classical Structure from Motion pipeline

Python 1
sfml sfml Public

Research Implementation of the code for the SFMLearner paper in Pytorch

Python
semantic_segmentation semantic_segmentation Public

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

Python 4 1
RL-Highway-Env-Project RL-Highway-Env-Project Public

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

Python 8 1

aniketmpatil (Aniket Patil) · GitHub