Udacity Quadcopter Project
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Updated
Aug 7, 2019 - HTML
Udacity Quadcopter Project
Simulation of Quadcopter/Quadrotor Exploration of Unknown Environments using Artificial Potential Field. Uses Vispy for animation
3D Simulation of a quadcopter system in MATLAB. Controllable with keyboard input (note: no flight controller implemented)
This project is about training a deep neural network to identify and track a target in simulation using Udacity's RoboND drone simulator. 🛸 Applications like this are key to many fields of robotics and the techniques applied can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration. 👨🏫
Low-level autonomous control and tracking of quadrotor using reinforcement learning - Proximal Policy Optimization
Quadcopter Project
Quadrotor (Quadcopter) linear and non-linear controller simulation with SIMULINK MATLAB
An autonomous delivery drone that delivers and returns parcels on landing markers
Quadcopter Control Along with sensor fusion of EEG data along with eye tracking data using the Extended Kalman Filter
This model include; plant,controller,sensor,filter and disturbance models.
This work basically presents the analytical work for solving the problem "B" of "UPC-2020"
Quadcopter simulation with Webots
Multiple quadrotors carrying a flexible hose: dynamics, differential flatness and control
Quadcopter Simulation and Control. Dynamics generated with PyDy.
Quadcopter simulation with Simulink
Autonomous Indoor Quadcopter using ROS & Gazebo Simulator | Fall 2019
Quadcopter simulation in 3D space
This project implements various multi-agent coordination techniques.
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