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Makarand S Mandolkar's Projects

introduction-and-application-of-neural-network-and-cnn icon introduction-and-application-of-neural-network-and-cnn

1. Building a Neural Network with one hidden layer from scratch 2. Building a multi-layer Neural Network with open-source neural-network library 3. Build Convolutional Neural Network (CNN) with open-source neural-network library

introduction-and-application-of-reinforcement-learning- icon introduction-and-application-of-reinforcement-learning-

In this project, we are mainly supposed to carry out three tasks which are as follows:- 1)We have to build a reinforcement learning agent to navigate towards a given goal. We have already been given with a grid world environment of order 4X4. So our taskistobuildapolicy function, which is further used to determine the actions of the agent in order to get a maximum reward while reaching the goal. 2) In the second task, we are supposed to update the Q-table, which isamatrixofthestatesand actions taken by the agent. 3) We are required to implementatrainingalgorithmtotraintheagentsothatitreachesthegoal in an optimal cost by using the rewards and discount, to ultimately skew the results.

joy2twist icon joy2twist

Controlling a mobile robot using a Logitech F710 gamepad

laser-based-perception-and-navigation-using-obstacle-avoidance icon laser-based-perception-and-navigation-using-obstacle-avoidance

A 2 wheeled robot is equipped with a 2D laser range finder in order to detect obstacles in its environment. It needs to get to its charging station using a homing signal. The objective is to perform perception using a laser range finder and use the perceived information to avoid obstacles and navigate to the charging station.

lego-loam icon lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

live_ekf_slam icon live_ekf_slam

Custom simulator with my implementations of EKF-, UKF-, and Pose-Graph-SLAM

llama_ros icon llama_ros

llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2

loam_continuous icon loam_continuous

loam SLAM with continuous scanning 2D laser, modified to work under ROS indigo and catkin

loam_velodyne icon loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

object-tracking-drone icon object-tracking-drone

This is a OpenCV and Raspberry Pi based system which provides Object Tracking functions for a Drone, controllable from DIY Android App.

open_mobile_manipulator icon open_mobile_manipulator

A cheap educational DIY mobile manipulator - ROS , with instructions on how to build it, starting code and demos

pyrobosim icon pyrobosim

ROS 2 enabled 2D mobile robot simulator for behavior prototyping

robot_localization icon robot_localization

robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

ros-llm icon ros-llm

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.

ros-vosk icon ros-vosk

Vosk node for ROS Robot Operating System

ros1_wiki icon ros1_wiki

This repository contains video demonstration and explanation for ROS1 Wiki pages

ros2-path-planning-and-maze-solving icon ros2-path-planning-and-maze-solving

Developing a maze solving robot in ROS2 that leverages information from a drone or Satellite's camera using OpenCV algorithms to find its path to the goal and solve the maze. :)

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