Module/Course Title: Robotics

Module course code

KOMS120707

Student Workload
119 hours

Credits

3 / 4.5 ETCS

Semester

7

Frequency

Odd Semester

Duration

16

1

Type of course

Field of Study Courses

Contact hours


40 hours of face-to-face (theoretical) class activity

Independent Study


48 hours of independent activity
48 hours of structured activities

Class Size

30

2

Prerequisites for participation (if applicable)

-

3

Learning Outcomes

  1. Students can demonstrate systematic thinking in analyzing and designing intelligent system solutions
  2. Students can apply effective methods in developing intelligent systems
  3. Students can create and evaluate intelligent systems
  4. Students can demonstrate knowledge of industrial robots, characteristics, end effectors and actuators
  5. Students can describe the working principle of various sensors
  6. Students can observe application of robots in industry

4

Subject aims/Content

This course discusses the basic concepts of robotics, mechanical analysis, planning and the structure of the degree of freedom in a robot application. In particular, the material also covers servo, image processing, and embedded systems for robotics so that students understand how mobile robot applications work with wheels, legs, humanoids and aerial robots. Robotics is a lab-based course that emphasizes the creation and programming of autonomous mobile robots while introducing the fundamental ideas of robotics. This course is an introduction to the field of robotics. The basics of kinematics, dynamics, trajectory planning, robot manipulator control, and sensing will be covered. Homogeneous transformations, robot manipulator forward and inverse kinematics, differential kinematic equations, the manipulator Jacobian, and force relations are all covered in the course. Additionally, it explains the fundamentals of force, touch, and proximity sensing.

Study Material

Submission of lecture contracts and general introduction of materials

Robotics basics: kinematics, degree of freedom, Forward kinematics

  • Definition of automation and autonomy
  • The impact of automation and autonomy
  • Autonomous System Capabilities
  • Three types of software architecture
  • Intelligent robotics operational architecture
  • Three paradigms of system architecture paradigm
  • Telesystem components
  • Human surveillance control
  • human factor
  • Sensors and sensing models
  • Selection of sensors and sensing devices

Computer Vision

-

  • The basic concept of image processing
  • Image processing techniques
  • Methods in image processing

Methods in image processing (Continued)

  • Overview of machine learning
  • Supervised Learning
  • Unsupervised Learning
  • Robotics and Artificial Intelligence

Human-Robot Interaction

  • Modeling and Interaction
  • Natural Language
  • Ethics and AI Implementation
  • Category Ethical Agents in Robotics

 

-

5

Teaching methods

Synchronous:
face to face/online meeting
Asynchronous:
Module delivery via elearning

6

Assesment Methods

Attendance and participation

7

This module/course is used in the following study programme/s as well

Computer Science Study Programme

8

Responsibility for module/course

  • I Made Putrama, S.T., M.Tech
  • NIDN : 0024058005

9

Other Information

  1. Introduction to Robotics: Analysis, Control, Applications, Neeku, S.B., 2020, Wiley
  2. Introduction to AI Robotics, Robin R. Murphy, 2019. A Bradford Book
  3. Introduction to Robotics: Mechanics and Control (4th Edition); 2017; by John Craig; Publisher:Pearson.
  4. Springer Handbook of Robotics. Siciliano, B., Khatib, O., Springer.
  5. Robotics, Vision, and Control: Fundamental Algorithms in MATLAB. Corke, P. Springer.
  6. Probabilistic Robotics. Thrun, S., Burgard, W., Fox, D. MIT Press.
  7. Robotics and Autonomous Systems. Elsevier. https://www.sciencedirect.com/journal/robotics-and-autonomous-systems
  8. IEEE Transactions on Robotics. IEEE. https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8860
  9. An Overview of Soft Robotics. Oncay Yasa,∗ Yasunori Toshimitsu, Mike Y. Michelis, Lewis S. Jones, Miriam Filippi, Thomas Buchner, and Robert K. Katzschmann. Annual Review of Control, Robotics, and Autonomous Systems. https://www.annualreviews.org/doi/pdf/10.1146/annurev-control-062322-100607