Mobile Robot Control 2021 Group 8

Group information

Group members

Name:	Student ID:	Email:
Rick Peeters	1021754	r.peeters@student.tue.nl
Rinse Hobma	1022328	r.hobma@student.tue.nl
Bram Odrosslij	1016625	b.odrosslij@student.tue.nl
Abdullah Cosgun	1020574	a.cosgun@student.tue.nl
Ivo Mix	1011609	c.g.mix@student.tue.nl

Tutor

Cesar Lopez Martinez	c.a.lopez.martinez@tue.nl

General planning

Week 1 (19 April - 25 April)

• Start with tutorials.

• Prepare the software (Ubuntu, qtcreator, .. ).

• Design document.

• Project planning.

Week 2 (26 April - 2 May)

• Introduction meeting with the tutor.

• Watch tutorials 1.1, 1.2 & 1.3.

Week 3 (3 May - 9 May)

• Deadline: Design document (4 May)

• Finish the tutorials.

• Watch tutorials 2.1, 2.2 & 2.3.

• Orientating the escape room challenge.

Week 4 (10 May - 16 May)

• Escape room competition (12 May)

• Finish the script for the escape room competition.

• Discuss the result of the escape room competition.

Week 5 (17 May - 23 May)

• Start oriëntating for the hospital competition.

Week 7 (31 May - 6 June)

• Presentations (2 June)

Week 8 (7 June - 13 June)

• Final Competition (9 June)

Week 10 (21 June - 23 June)

• Deadline: Wiki pages (23 June)

Course description

(PICO, Assignment, .. )

Design document

The design document describes the initial idea for the solutation on the basis of the requirements, functions, components, specifications and interfaces.

The design document can be found here.

Escape Room Challenge

Strategy

The basis of the used strategy for the escape room challenge lies in the Artificial potential field algorithm. Together with the Finite state machine, that is defined in the design document, and the exit detection algorithm, forms this the strategy that is used in the escape room challenge.

Finite state machine (FSM)

Figure 1: Finite state machine for the Escape Room Challenge.

Artificial potential field algorithm / navigation module

The basis of the navigation module lies on the artificial potential field algorithm. This algorithm uses two vectors that determine the motion of the PICO robot. The first vector is the attractive vector, which is determined by the difference in the current position of the robot and the target position that is determined by the exit detection algorithm.

The other vector is the repulsive vector, which makes the PICO robot move away from the wall and is proportional to the distance to the wall. Thus the magnitude of the vector increases when the PICO robot is closer to the wall.

The path of the PICO robot is then determined by taking the sum of attractive vector and the repulsive vector. By updating these vectors with a frequency of 20 [Hz], the PICO robot will move in the direction of the target point while at the same time getting pushed away from the wall.

While implementing this algorithm, the group ran into difficulties and the navigation module was changed. The beginning of the algorithm stayed the same, the difference was made after the PICO robot is approaching the wall near the exit. When this happens the PICO robot moves, parallel to the wall at a fixed distance in the direction of the target point. This procedure happens until the PICO robot is located in the corridor.

..

Result

Figure 2: Result of the escape room challenge.

Figure 3: Result of the escape room challenge.