Astik Srivastava's Projects
Agile flight done right!
ArduPlane, ArduCopter, ArduRover, ArduSub source
Official reference C / C++ library for the v2 protocol
Robust control design for the control of a revolute joint using an SMA actuator.
System Identification toolbox, compatible with ControlSystems.jl
Data Driven Dynamics Modeling for Aerial Vehicles
The following project is an implementation of "Hakan Ülker, Cemal Baykara, Can Özsoy, "Design of MPCs for a fixed wing UAV", Aircraft Engineering and Aerospace Technology, https://doi.org/10.1108/AEAT-08-2015-0198".
Dual purpose Acrobot and Pendubot Platform
Code for establishing mavlink communication between Pixhawk Cube Orange and two development boards a) Teensy 4.0/4,1 b) STM32 f446ZE. The code is used to extract attitude information from pixhawk IMU. MAVLink 2 official library has been used for both the boards (https://github.com/mavlink/c_library_v2).
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
The following code is a novice attempt to design a flight control algorithm for common hobby grade rc aircrafts. Please feel free to leave suggestions and comments
Aggressive trajectory tracking using mavros for PX4 enabled vehicles
Artwork for the MiniHawk VTOL, a 3D-Printed Tricopter/Fixed-wing hybrid aircraft.
Master's Thesis Project: Design, Development, Modelling and Simulating of a Y6 Multi-Rotor UAV, Imlementing Control Schemes such as Proportional Integral Derivative Control, Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue
A performance-enhanced Quadrotor motion planner
Open-Source Releases of the Phoenix Tail-sitter Drone Project
An open-source aircraft identification library in python
Quadcopter Simulation and Control. Dynamics generated with PyDy.
Sampling based rewiring approaches to solve motion planning problems for a robot with dynamic obstacles
Robot obstacle avoidance with reinforcement learning
RotorS is a UAV gazebo simulator
Simulate dynamic environments and LiDAR observations
The English version of 14 lectures on visual SLAM.
python version stepwise regression