Robotics and Control


Sensors: The student will gain an understanding of electrical, electronic and mechanical sensors/actuators, including their required signal−conditioning and digital interfacing to acquire and analyse data.

Control Theory: This module introduces control in the engineering context and studies mechanical, electrical and fluid systems using block-diagram methodology. Open loop and closed loop systems are studied. Concepts such as feedback, steady state error, disturbances, ON/OFF controllers, proportional, integral and derivative controllers will be examined to show that proper control system design leads to systems that are efficiently and adequately controlled.

Industrial Robots: Definition and classification of robots. Robot anatomy: joints and links, control systems, end effectors, sensors in robotic applications. Robotic maintenance and safety. Application of industrial and materials handling robots. Vision systems

Robotic Programming: Lead-through Programming, use of Teach Pendant. Simulation and practical robotic applications

Learning Outcomes

  1. Describe the principle of operation and characteristics of sensors and actuators

  2. Identify the components of data acquisition including signal conditioning and digital interfacing.

  3. Use appropriate technologies and software programming packages to measure, analyse and control systems

  4. Analyse control concepts including open loop, closed loop, relays, motor control, sequential control, process control, PID control.

  5. Identify the environments in which control systems operate and calculate the steady-state error, stability and speed of response of the system.

  6. Investigate robotic capability, technology and anatomy

  7. Develop and execute robotic simulation programmes; and practical training using 5 and/or 6 axis robots.

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