CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
Examples of efficient trajectory optimization for robot motion planning
:computer: :mortar_board: Git-it is a (Mac, Win, Linux) Desktop App for Learning Git and GitHub
Drivers for the rtl8192eu chipset for wireless adapters (D-Link DWA-131 rev E1 included!)
This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.
hector_gazebo provides packages related to the simulation of robots using gazebo (gazebo plugins, world files etc.).
