Embedded Motion Control 2017 Group 10: Difference between revisions

From Control Systems Technology Group
Jump to navigation Jump to search
Line 121: Line 121:


The Pledge algorithm is used to make a very simplistic global world map and solve the maze. The pledge algorithm uses relative angle movements to calculate the rotation angle. Rotation clockwise is negative angle and counter clockwise positive. After the robot rotates pi rad, the OdometryData switches to a negative angle of -pi rad. The relative angle is in that case 2 pi rad. To compensate,  2 pi is subtracted in that case leaving with only the relative angle. With the rotated angle, the taken corners are calculated.
The Pledge algorithm is used to make a very simplistic global world map and solve the maze. The pledge algorithm uses relative angle movements to calculate the rotation angle. Rotation clockwise is negative angle and counter clockwise positive. After the robot rotates pi rad, the OdometryData switches to a negative angle of -pi rad. The relative angle is in that case 2 pi rad. To compensate,  2 pi is subtracted in that case leaving with only the relative angle. With the rotated angle, the taken corners are calculated.
Group_10_Pledge_count.png


==Result ==
==Result ==

Revision as of 09:34, 8 June 2017

Group Members

0773865 Tim Coerver
0953808 Pieter de Groot
0970955 Jos Terlouw
0973811 Bas Vermij
0972391 Roel Vromans
0975718 Corné van Haren

Initial Design

Link to the PDF version of the design document: PDF

Requirements

  • Software easy to setup
    • Updated with one easy command, e.g. 'git pull'.
    • Software can be compiled using 'cmake' and 'make'.
    • One executable to start software.
  • Autonomously solving the corridor challenge
    • Solving the corridor challenge has to be done within 5 minutes.
  • Autonomously solving the maze challenge
    • Solving the maze challenge has to be done within 7 minutes.
  • Avoiding collision
    • Do not bump into walls or doors.
  • Recognize and open a door in the maze
    • There might be multiple dead ends in the maze, one of which is a door. The robot has to be autonomously open the door (by ringing a bell) to solve the maze.
  • Detect corridors, corners, T-junctions and intersections
    • The maze and corridor challenge consists of several, corridors, corners, T-junctions and intersections. Various algorithms created in order to detect these.
  • Navigate through corridors, corners, T-junctions and intersections
    • When corridors, corners, T-junctions and intersections are detected, the robot has to drive trough these. In order to do this, strategies have to be created for each of these.
  • Detecting dead ends
    • The maze can contain dead ends, these have to be distinguished from doors.
  • Detecting maze exit
    • The exit of the maze has to be detected in order to know when the maze is finished.
  • Navigate open spaces
    • The maze can contain open spaced, when these are detected these has to be explored by navigating trough them.

Specifications

The specifications are related to the requirements specified above.

  • The time to reach the end of the maze is 7 minutes.
  • The time to accomplish the corridor challenge is 5 minutes
  • The robot may not be idle for more than 30 seconds.
  • When the robot find a door, it rings a bell and the door will be opened manually.
  • Two attempts to solve the maze are allowed. Both attempts have to be finished within 7 minutes total.
  • Two attempts are allowed to solve the corridor challenge. Both attempts have to be finished within 5 minutes.
  • When the robot bumps into a wall the attempt is over.


Specifications of the maze

  • All walls are positioned approximately perpendicular to one another.
  • Open spaces might occur (as depicted in Figure 1 ).
  • There may be loops in the maze, which means that some walls may not be connected to other walls.
  • Walls are approximately parallel.

Doors and open spaces are specified as described by Figure 1.

Mazediag
Figure 1: Maze open spaces and door specifications

Functions

The functions are categorized in three different levels of complexity: Low, Mid and High level. An overview of the functions is given in Figure 2.

function diagram group 10
Figure 2: Function overview. The functions are grouped based on complexity as well as input/output type.

Components

The following components are accessible on the pico:

  • Actuators
    • Holonomic Base (Omni-wheels)
  • Computer
    • CPU Intel i7
    • OS Ubuntu 14.04

Interface

The interfaces between functions are shown in Figure 3. Here the functions are devided into: Tasks, Skills, Motion and World Model. The world model contains the functions that are used to keep track of Pico's surrounding. Tasks contains the functions on the highest level where the robot decides what it is going to do, like solve the maze. The skill block consists of all functions that make the robot perform lower level tasks such that the high level objective can be achieved. The motion block does the low level operations that make the skill functions work.

interface diagram group 10
Figure 3: Interface overview of all functions needed by Pico to solve the maze and corridor challenge.

The Corridor Challenge

Potential field

Corner mapping

Corners made with

Challenge Result

Pico managed to finish the corridor challenge in 24 seconds, this got us the third place. As can be seen in die video on the straight the Pico wobbles a lot this is due to the over reactive implementation of the potential field. Without this wobbling we would possible end up in the first place.

interface diagram group 10
Corridor challenge result showing a drunk pico making a perfect corner.

The Maze Challenge

Final design

For the final desig the following stage machine is designed

interface diagram group 10
Figure 3: Interface overview of all functions needed by Pico to solve the maze and corridor challenge.

Pledge

The Pledge algorithm is used to make a very simplistic global world map and solve the maze. The pledge algorithm uses relative angle movements to calculate the rotation angle. Rotation clockwise is negative angle and counter clockwise positive. After the robot rotates pi rad, the OdometryData switches to a negative angle of -pi rad. The relative angle is in that case 2 pi rad. To compensate, 2 pi is subtracted in that case leaving with only the relative angle. With the rotated angle, the taken corners are calculated.


Group_10_Pledge_count.png

Result

Weekly Planning

- Update wiki with corridor challenge results and findings.
- Start working on Maze solving