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https://github.com/Aerodynamics-Club/awesome-resources

This repository is a collection of useful (read awesome) resources related to aerodynamics, aerial robots, simulators and geeky stuff.
https://github.com/Aerodynamics-Club/awesome-resources

List: awesome-resources

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This repository is a collection of useful (read awesome) resources related to aerodynamics, aerial robots, simulators and geeky stuff.

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README 

        
# awesome-resources

![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) 

 This repository contains a curated list of useful (read awesome) resources related to aerodynamics, aerial robots and simulators.



## Contributing

Fork this repository and make changes to the forked repository. Make the changes to your personal copy. Once the changes are ready to be included in this repository, submit a PR to this repository. Instructions for the process are available [here](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request). Keep periodically checking your active pull requests for reviews and suggestions by reviewers [here](https://github.com/Aerodynamics-Club/awesome-resources/pulls).



## Table of Contents

- [Papers](#papers)

- [Tutorials](#tutorials)

- [Blogs](#blogs)

- [Courses](#courses)

- [Videos](#videos)

- [Repositories](#repositories)



## Papers

#### Localisation

#### Visual Inertial Odometry

*  Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback (ROVIO) [[Paper]](https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/263423/1/ROVIO.pdf)[[Code]](https://github.com/ethz-asl/rovio) 

*  Keyframe-Based Visual-Inertial Odometry using Nonlinear Optimization (OKVIS) [[Paper]](https://journals.sagepub.com/doi/abs/10.1177/0278364914554813?journalCode=ijra)[[Code]](https://github.com/ethz-asl/okvis)

*  VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator [[Paper]](https://ieeexplore.ieee.org/document/8421746)[[Code]](https://github.com/HKUST-Aerial-Robotics/VINS-Mono)

  

#### Motion Planning

* Minimum Snap Trajectory Generation [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980409) [[Code]](https://github.com/ethz-asl/mav_trajectory_generation)

* BIT*-based path planning for micro aerial vehicles [[Paper]](https://ieeexplore.ieee.org/document/7792953)[[BIT*-Paper]](https://arxiv.org/abs/1405.5848)

## Tutorials

## Blogs

## Courses

* Robotics Specialisation

  - [Coursera] [Robotics: Aerial Robotics](https://www.coursera.org/learn/robotics-flight)

  - [Coursera] [Robotics: Computational Motion Planning](https://www.coursera.org/learn/robotics-motion-planning)

  - [Coursera] [Robotics: Mobility](https://www.coursera.org/learn/robotics-mobility?specialization=robotics)

  - [Coursera] [Robotics: Perception](https://www.coursera.org/learn/robotics-perception?specialization=robotics)

  - [Coursera] [Robotics: Estimation and Learning](https://www.coursera.org/learn/robotics-learning)

## Videos

#### Talks

  * [The astounding athletic power of quadcopters](https://youtu.be/w2itwFJCgFQ)

  * [Artificial Intelligence Podcast by Lex Fridman](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4)

  * [Robotics Today](https://roboticstoday.github.io/index.html)

  * [MIT RoboSeminars](https://www.youtube.com/channel/UCK2tKzmSFFnpFhUXtRKjvnQ)

  * [Stanford - Robotics and Autonomous Systems Seminar](https://www.youtube.com/playlist?list=PLoROMvodv4rMeercb-kvGLUrOq4HR6BZD)

  * [CMU RI Robotics Seminars](https://www.youtube.com/playlist?list=PLCFD85BC79FE703DF)

## Repositories



### Repositories from BITS Pilani



* GenNav ERC-BPGC [[Link]](https://github.com/ERC-BPGC/gennav)

* Omnibase ERC-BPGC [[Link]](https://github.com/ERC-BPGC/omnibase)

* GenRL SforAIDL [[Link]](https://github.com/SforAiDl/genrl)



---



### External Repositories



* Autonomous landing UAV [[Link]](https://github.com/MikeS96/autonomous_landing_uav)

* RotorS Simulator ETHZ-ASL [[Link]](https://github.com/ethz-asl/rotors_simulator)

* Graph Based Exploration Planner (GBPlanner) UNR-ARL [[Link]](https://github.com/unr-arl/gbplanner_ros)

* Motion Primitives Based Exploration Planner (MBPlanner) UNR-ARL [[Link]](https://github.com/unr-arl/mbplanner_ros)

* Implementaions of Various Algorithms in Python [[Link]](https://github.com/TheAlgorithms/Python)

* FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments [[Link]](https://github.com/mit-acl/faster)

* General ROS Navigation (GeRoNa) [[Link]](https://github.com/cogsys-tuebingen/gerona)

* All about Robotics [[Link]](https://github.com/mathiasmantelli/all_about_robotics)

* MAV Trajectory Generation (ETHZ ASL) [[Link]](https://github.com/ethz-asl/mav_trajectory_generation)



### Datasets, Resources and Environments



* Clearpath Robotics Gazebo [[Link]](https://github.com/clearpathrobotics/cpr_gazebo)

* TU Delft Gazebo Models [[Link]](https://github.com/tudelft/gazebo_models)

* Dataset of Gazebo Worlds, Models and Maps [[Link]](https://github.com/mlherd/Dataset-of-Gazebo-Worlds-Models-and-Maps)