/Motion_Planning_For_Mobile_Robot

Motion Planning and Control Algorithm for mobile robotics

Primary LanguageC++

Motion_Planning_For_Mobile_Robot

Here are C++ implementation of some basic motion planning algorithms for mobile robot.

More detail see the packages.

  • $Astar$: Implementation of gird based path finding method $A^*$.

  • $Control\ Lattice$: One step control space sampling, then solving $Optimal\ Boundary\ Value\ Problem (OBVP)$ to generate the optimal trajectory.

  • $MPC\ path\ tracking$: A $MPC$ based path tracking controller using LTV kinematic model.

  • $opt\ traj\ gen$: Implementation of minimum jerk trajectory generation

  • $samp\ method$: Implementation of sampling based path finding method $RRT*, Informed\ RRT^*$