makarandmandolkar Goto Github PK
Name: Makarand S Mandolkar
Type: User
Bio: Practice and Separation!
Location: New York
Name: Makarand S Mandolkar
Type: User
Bio: Practice and Separation!
Location: New York
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
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.
Controlling a mobile robot using a Logitech F710 gamepad
A ROS package for an 1D Kalman filter
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.
LeetCode Problems' Solutions
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Custom simulator with my implementations of EKF-, UKF-, and Pose-Graph-SLAM
llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2
loam SLAM with continuous scanning 2D laser, modified to work under ROS indigo and catkin
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Udacity Self-Driving Car Nanodegree - Extended Kalman Filter implementation
Course submission material for Lidar point cloud based 3D Detection using Yolo for Udacity Self Driving Nanodegree
This is a OpenCV and Raspberry Pi based system which provides Object Tracking functions for a Drone, controllable from DIY Android App.
A cheap educational DIY mobile manipulator - ROS , with instructions on how to build it, starting code and demos
Kindly refer the medium articles: https://medium.com/@rugved42/path-planning-on-autoware-a-simulation-tool-part-3-3-2461343fab07
Package to merge 2 pointclouds
Interact with your documents using the power of GPT, 100% privately, no data leaks
Python implementations of state estimation and SLAM algorithms in Probabilistic Robotics.
ROS 2 enabled 2D mobile robot simulator for behavior prototyping
ROS and Gazebo simulation of QR code scanning drone
Intel(R) RealSense(TM) ROS Wrapper for Depth Camera
A small 2D robot localization game using Kalman filtering written in C++11
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 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.
Vosk node for ROS Robot Operating System
This repository contains video demonstration and explanation for ROS1 Wiki pages
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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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.