MODULE DETAILS

Module 14: Machine Sensors DMCSEN614

Nominal duration: 4 weeks (48 hours total time commitment)

This time commitment includes the structured activities, preparation reading, and attendance at each webinar, completing exercises, practical assessments and proctored assessments.

It is also expected that students spend additional time on readings, personal study, independent research and learning, practicing on remote labs and required software and working on any projects and assignments.

This module covers the functionality, associated signal conditioning, and interfacing of machine sensors.

MODULE PURPOSE

The purpose of this module is for the participants to gain knowledge of sensor selection, sensor interfacing and sensor signal conditioning applicable to robotics.

MODIFICATION HISTORY Version 2.0

PRE-REQUISITE MODULES/UNIT(S)

Modules that must be delivered and assessed before this module:

Analogue Circuits DMCANA607

Design digital circuits DMCDIG608

Modules that must be delivered concurrently with this module:

N/A

ASSESSMENT STRATEGY

METHODS OF ASSESSMENT

Assessors should gather a range of evidence that is valid, sufficient, current and authentic. Evidence can be gathered through a variety of ways including direct observation, supervisor's reports, project work, structured assessments, samples and questioning. This will include short answer questions on the knowledge content, the use of remote and virtual labs, and writing tasks to apply the learning to academic tasks.

CONDITIONS OF ASSESSMENT

 Assessors must:

  • hold the appropriate assessor competency standards as outlined in regulations; and
  • be able to demonstrate vocational competencies at least to the level being assessed; and
  • be able to demonstrate how they are continuing to develop their VET knowledge and skills as well as maintaining their industry currency and assessor competence.

Questioning techniques should not require language, literacy and numeracy skills beyond those required in this module. The candidate must have access to all tools, equipment, materials and documentation required.

The candidate must be permitted to refer to any relevant workplace procedures, product and manufacturing specifications, codes, standards, manuals and reference materials.

Assessments will be open book assessment and may be completed off-campus. Invigilation software will be used for some assessments to ensure authenticity of work completed.

Model answers must be provided for all knowledge-based assessments to ensure reliability of assessment judgements when marking is undertaken by different assessors.

SUMMARY OF LEARNING OUTCOMES

  1. Analyse the functionality and signal conditioning for robot sensors
  2. Idenifty methods for adding sensors to a mobile robot
Learning Outcome 1 Analyse the functionality and signal conditioning for robot sensors
Assessment criteria 1.1.   Identify and explain the following types of sensors:

(a) Contact

(b) Light

(c) Position/orientation

(d) Distance

(e) Force and acceleration

(f) Rotation (rotary encoders)

(g) Displacement (linear encoders)

 

Learning Outcome 2 Identify methods for adding sensors to a mobile robot
Assessment criteria 2.1.   Describe methods for interfacing sensors to a mobile robot in order to accomplish the following:

(a) Bump sensing

(b) Line following

(c) Infrared (heat) seeking

 

Delivery Mode

Online and/or face-to-face

  

Software/Hardware Used

Software

  • Proteus

Hardware

  • Remote Lab