SIME1020 Robotics: Automating the Future

 

   

 

 

 

 

 

 

 
Course Code SIME1020
  
Course Title Robotics: Automating the Future  
Class Date 18, 19, 20, 21, 24 and 25 July 2023

(26 July 2023 is reserved for class make-up in case there is any cancellation of classes due to bad weather or other unexpected factors.)
Class Time 9:00am – 11:30am
Class Location TBC  

 
Teacher Prof. LAU Tat Ming Darwin

Associate Professor
Department of Mechanical and Automation Engineering
The Chinese University of Hong Kong

  

 
Medium of Instruction English
Pre-requisite Background in mathematics and stem
Course Description Robotics is a continuously emerging field that is getting more and more common in our society. This module introduces students to the basic concepts and state-of-the-art technologies in robotics. A range of different case studies, such as medical robots, service robots and disaster response, will be presented and discussed to show the benefits, influence and impact robots have on us. Through hands-on exercises with simple robotic systems, the significance of technologies, logic and algorithms in robotics can be appreciated.
Course Content The content in this course include:

  1. introduction to what robotics is and its applications in different areas
  2. application of sensors and actuators in robotics, including calibration
  3. fundamentals in the kinematics and trajectory generation of robot manipulators
Learning Outcomes Upon the completion of the course, students should have achieved the following outcomes:

  1. increase appreciation and understanding on the significance of robotics to the society and its applications;
  2. gain hands-on experience with robotic manipulators;
  3. appreciate the use of mathematics and physics within robotics and engineering;
  4. learn to calibrate sensors and actuators;
  5. apply kinematics analysis and trajectory generation on the robot manipulators to perform different types of motion.
Recommended Reading(s) / Reference(s) Lectures slides will be provided.
Course Assessment In-class test quiz (40%)

Robot demonstration (40%)

Report on laboratory work (20%)
  The above course information is subject to change and approval.
  Last updated on 27 February 2023
   

 

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