CAMIS for path planning

PYTHON package including CAMIS and biOUM path planner

Author: J. Ricardo Sánchez Ibáñez

Supervisor: Carlos J. Pérez del Pulgar

Contact info: [email protected]

Affiliation: University of Malaga, Space Robotics Lab

Overview

The main purpose of this repository is to provide the resources needed to create a CAMIS for any mobile robot that must traverse irregular terrain. Besides, it is also provided the implementation of a fast and continuous anisotropic planner, based on the bi-directional Ordered Upwind Method (bi-OUM).

CAMIS is basically a method to make a path planner acknowledge the fact that the direction and magnitude of any slope takes influence on the performance of a mobile robot.

To demonstrate its utility, it is also provided an example in which a experimental robot and terrain from the University of Malaga are employed.

Step-by-Step

1. Collect robot data, in the form of cost values together with their associated robot orientations (using roll-pitch-yaw angles).

2. Compute the 4 CAMIS directional functions: Descent Cost, Ascent Cost, Lateral Cost 1 and Lateral Cost 2.

3. Get a DEM and compute the slopes.

4. Prepare a triangular grid in which each node has associated a value of gradient and an aspect vector.

5. Execute biOUM using CAMIS to obtain an optimal and feasible path.