rvnandwani Goto Github PK
Name: Raghav Nandwani
Type: User
Bio: Robotics | Computer Vision | Deep Learning | Sensor Fusion | ROS
Location: California
Name: Raghav Nandwani
Type: User
Bio: Robotics | Computer Vision | Deep Learning | Sensor Fusion | ROS
Location: California
Python notebooks implementing various CV models
The project was about to find all the possible states of the 8-Puzzle starting from the given initial state, keeping in mind, the states should be unique (no repetitions). After that use the brute force search algorithm (BFS) to find the path to reach the goal state using the possible states of 8-puzzle.
This project was about implementing Dijkstra and A* algorithm to find a path between start and end point on a given map for a point robot.
This project involves navigating a differential drive robot (TurtleBot 2) in a virtual environment from a given start point to a given goal point, with simulation carried out on V-REP
This project represents a novel method to calculate the path. It is a combination of A* and dynamic A* which is implemented on the common task of the shopping cart. Please review the PDF for more info.
Estimated camera pose by calculating Essential and Fundamental Matrix using 8-point algorithms through RANSAC. And the plotted the camera coordinates in world frame to estimate optimal pose of the camera.
This is the repository for the final project of ENPM809Y (Introduction to Robot Programming) for Group 7.
It is a known fact that quadrotor UAVs are in general under-actuated and nonlinear system and it is a challenge to control them, especially in case of aggressive maneuvers. Our goal in this project is to study the nonlinear geometric control approach to control a quadrotor. The configuration of the quadrotor system described on smooth nonlinear geometric configuration spaces has been briefly discussed, and analyzed with the principles of differential geometry. This allows us to avoid any kind of singularities that would otherwise arise on local charts.
These are the assignment files of ENPM809Y course at UMD.
Obstacle Detection, using PCL library fuctions, to detect objects in a point cloud data from a LIDAR mounted on a Self-Driving Car.
This is the Programming Exercise 1 of "Machine Learning" course by Stanford on Coursera.
This repo is of my submissions for all the course assignments of Machine Learning by Stanford course on Coursera ( https://www.coursera.org/specializations/machine-learning-introduction? )
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
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.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
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.