Trajectory Optimizer for UAVs

Solvers used in the paper Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments (ICRA 2019) (pdf, video)

@article{tordesillas2018real,
  title={Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments},
  author={Tordesillas, Jesus and Lopez, Brett T and Carter, John and Ware, John and How, Jonathan P},
  journal={arXiv preprint arXiv:1810.01035},
  year={2018}
}

Two videos of the trajectories generated by these solvers are available here:

Video 1	Video 2

Introduction:

This is a highly efficient solver to generate trajectories for UAVs. It's basically a C++ wrapper for the C code generated by CVXGEN to solve the optimization problem to generate trajectories for UAVs.

It includes three solvers to solve for:

• Velocity-Controlled Trajectories: State is position.
• Acceleration-Controlled Trajectories: States are position and velocity.
• Jerk-Controlled Trajectories: States are position, velocity and acceleration,

Instructions:

Clone this repository:

git clone https://github.com/jtorde/uav_trajectory_optimizer.git

Now compile the cvxgen code: By default, the compiler will use the option -Os for the CVXGEN code. If you want the maximum performance, change it to -O3 in the Makefile inside the folders cvxgen_*

cd uav_trajectory_optimizer
chmod +x setup.sh 
./setup.sh

Then compile the c++ wrapper:

catkin config -DCMAKE_BUILD_TYPE=Release
catkin build

And finally execute the example:

./build/cvx/cvx_exec

License

BSD 3-Clause, see License file attached