Courses / Module

• Recognise, differentiate, and describe the general properties of different sensors.
• Apply appropriate signal processing and probabilistic modelling techniques to sensor inputs.
• Select the appropriate control approach based on robot hardware and desired operational features.
• Model and develop solutions to certain robot control problems.
• Implement the solution to motion control problems using appropriate software frameworks.

• Planned Learning Activity contains 2 assignments of 15 hours each.

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Graded

• Pass standard: 40%
• Could the result of this module be capped? No
• Penalties: Late submission of assignments will be subject to a penalty of 10% of the assessment grade for each day (or part thereof) overdue.

• Are supplemental/resit registrations permitted? Yes
• 1x2 hour written examination. The continuous assessment mark is carried forward to the Autumn examinations.
• University scheduled written examination (Autumn): 120 minutes, On-campus

Course Text:
Bruno Siciliano, Lorenzo Sciavicco, Luigi Villani, Giuseppe Oriolo, “Robotics: Modelling, Planning and Control”, Springer-Verlag London, 2009

Reference Text:

Saeed B. Niku, “Introduction to Robotics: Analysis, Control, Applications”, 2nd edition, John Wiley and Sons, 2011

Shuai Li, Long Jin, Mohammed Aquil Mirz, “Kinematic Control of Redundant Robot Arms using Neural Networks”, IEEE Press/John Wiley and Sons, 2019

This timetable is not currently available, please contact the International Engineering College Department.