Skip to content

Latest commit

 

History

History
43 lines (28 loc) · 1.63 KB

README.md

File metadata and controls

43 lines (28 loc) · 1.63 KB
Raw

Trajectory Optimization

Introduction

In this repository I have implemented a RRT* algorithm followed my trajectory optimization for generating smooth trajectories between waypoints

Contents

  1. A RRT* alogorithm is used to generate waypoints which are then refrenced by Trajectory Optimization algorithm to generate smooth trajectories.
  2. The PDF in the repository shows the theory and code structure used for Trajectory Optimization. (link: https://github.com/adityaaap/Trajectory-Optimization/blob/master/Traj%20optim%20and%20RRT%20Star.pdf)

How to Run

Clone the repository and run

python3 main.py

Results of Path Planning

A scatter plot of the way points generated using RRT* algorithm

image)

image

Results of Trajectory Optimization

A plot of smoothened trajectory around the obstacle to the goal

image

image

Notes

A lecture PDF from MIT VNAV course on Trajectory Optimization is a very useful resource for trajectory optimization Link - https://vnav.mit.edu/material/09-TrajectoryOptimization1-notes.pdf

The PDF notes posted by me in the repo explain how the theory from above lecture has been used in this problem formulation and also the code structure associated with it

Current Work

Working to improve the collision avoidance in trajectory optimization code.

References:

  1. https://github.com/Mdhvince/UAV-Autonomous-control/tree/master
  2. https://ocw.mit.edu/courses/6-832-underactuated-robotics-spring-2009/resources/lecture-9-trajectory-optimization/