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Abhijit Mahalle

Robotics Engineer

  • I'm a self-driven individual with a particular interest in Computer Vision, Robotics Software Development, and Machine Learning.

  • How to reach me? amahalle(at)gmail(dot)com

Connect with me:

abhijit mahalle

Languages and Tools:

cplusplus python matlab linux opencv pytorch tensorflow ROS Gazebo docker

Computer Vision / ML Projects

structure-from-motion stereo-vision AR-tag-detection Human-Detection-Tracking Image-Segmentation hand-written-digit-recognition Image-Denoising Transfer-Learning steering-control-using-cnn face-recognition lane-detection

Robotics Software Projects

Monocular-Human-Position-Estimator Monocular-Human-Position-Estimator

All Repositories

Abhijit Mahalle's Projects

a-star icon a-star

Implementation of A* algorithm to find a collision-free path for a point robot

cmac icon cmac

Implementation of CMAC Architecture

decluttering_domestic_robot icon decluttering_domestic_robot

Developed a ROS software package for a domestic decluttering robot that scans the house floor for a specific object using Lidar, picks the object, and places it at a pre-defined location.

dijkstra icon dijkstra

Implementation of Dijkstra's algorithm to find a collision-free path for a point robot

face-swap icon face-swap

Python implementation of an end-to-end pipeline for swapping faces from images and videos using classical and deep learning approach

histogram-equalization icon histogram-equalization

Implementation of histogram equalization and adaptive histogram equalization for image enhancement.

lane-detection icon lane-detection

Project to detect straight and curved lanes and predict the turn

lateral_control_of_autonomous_vehicle icon lateral_control_of_autonomous_vehicle

Implementation of research paper "Lateral Control of an Autonomous Vehicle." A controller is designed to control the lateral movement of autonomous vehicles on straight and curved roads using the principle of feedforward, backstepping, and preview point.

mars-rover icon mars-rover

Designed a simple 3D model of Curiosity Rover in SolidWorks with a 5-DOF KUKA KR5 manipulator attached to its body, and spawned and controlled the robot in ROS using appropriated controllers.

optical-flow icon optical-flow

Leveraging optical flow to detect, track and measure the speed of the moving vehicle

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