ACS337 Robotic Systems 

Module Description (subject to change)

Robotics is having an increasing impact on society and the way we live. From advanced manufacturing to unmanned aerial systems and driverless cars this exciting area is presenting increasing technological challenges. This unit provides students with the advanced knowledge and understanding to apply control and systems engineering concepts to the field of robotics.
The unit covers the theoretical foundations of manipulators and mobile robots, and reviews robotic systems with reference to their applications.

Credits:  10 (Spring semester)

Module Leader

Roselina Arelhi

Roselina Arelhi
Email: r.arelhi@sheffield.ac.uk
Amy Johnson Building

If you have any questions about the module please talk to me during the lectures or the labs in the first instance. It is likely that other students will learn from any questions you ask as well, so don’t be afraid to ask questions.

Outside of lectures please contact me via email, or drop in to see me.

Learning Outcomes

Learning Outcomes

By the end of the module students will be able to:

  • Evaluate and critically appraise, real world scenarios where robotics and autonomous systems might be applied, make informed choices about the relative merits of their use, and explain associated social and ethical issues. [SM3p, D1p, ET1p, ET2p, ET5p, ET6p]
  • Compare different robotic configurations and systems, critically evaluate their advantages and disadvantages in open-ended real world problems, derive and apply kinematic and dynamic models of robots. [SM2p, EA1p, ET4p, ET6p]
  • Explain sensing and actuation systems applied to robotic systems, and the importance of using multiple sensors in robotic and autonomous systems. [SM1p, EP2p]
  • Explain and apply algorithmic approaches for mobile robot navigation, as well as advanced concepts of multi-robot coordination and the practical implications of their application. [SM2p, SM3p, EA3p]

This module satisfies the AHEP3 (Accreditation of Higher Education Programmes, Third Edition) Learning Outcomes that are listed in brackets after each learning outcome above. For further details on AHEP3 Learning Outcomes, see the downloads section of our accreditation webpage.

Syllabus

Syllabus

After a general introduction to robotics the module will be taught based around a number of case studies. Each case study will be built around a general application area or type of robotics, e.g. healthcare, biologically inspired robots, mobile robots, co-operative robots. This general area will be introduced and then the technical aspects of robotics will be taught using a specific example of a robot in the area.

•Introduction to robotics; brief history; types and applications of robotics; why robots are important; social and ethical issues.
•Kinematics and dynamics modelling; trajectory planning; sensing and actuation systems;
•Programming robots and the Robot Operating System (ROS); healthcare and medical robotics; assistive and rehabilitation robotics.

Teaching Methods

Learning and Teaching Methods

NOTE: This summary of teaching methods is representative of a normal Semester. Owing to the ongoing disruption from Covid-19, the exact method of delivery will be different in 2020/21.

  • Lectures: 14 hours
  • Tutorials: 2 hours
  • Laboratories (including associated assessment): 6 hours
  • Independent Study: 76 hours
Teaching Materials

Learning and Teaching Materials

All teaching materials will be available via Blackboard (MOLE).

Assessment

Assessment

The module will be assessed by:

Online Exam (30%)
Coursework (70%)

Feedback

Feedback

•You will have an opportunity to view marked Exam Scripts once Exam results have been confirmed by the Faculty and released to students. The date of this Review session will be announced by the Departmental Office.
•You will be able to look at the exam paper and a sample solution on the Blackboard (MOLE) page for this module. The paper and solution will be available after the exam period.

Student Evaluation

Student Evaluation

Students are encouraged to provide feedback during the module direct to the lecturer. Students will also have the opportunity to provide formal feedback via the Faculty of Engineering Student Evaluation Survey at the end of each semester.

You can view the latest Department response to the survey feedback here.

Recommended Reading

Recommended Reading

•Band T., Mihelj M., Lenarcic J., Stanovnik A & Munih M. (2010). Robotics, Springer, London
•Corke P. (2011) Robotics – Vision and control, Springer, Berlin
•Siciliano B. and Khatib O. (Ed) (2008). Springer handbook of robotics, Springer, Berlin
•Siciliano B., Sciavicco L., Villani L. & Oriolo G. (2010). Robotics – Modelling, planning and control, Springer, London
•Spong M. W., Hutchinson, S. & Vidyasagar, M. (2006). Robot modelling and control, John Wiley, USA
•Tokhi M. O. and Azad A. K. M. (2008). Flexible robot manipulators – Modelling, simulation and control, IET, UK