(NOTE: All the content was found on the Internet.)

EE6221 - Robotics & Intelligent Sensors

Learning Objective:

This course introduces fundamental concepts in robotics and intelligent sensing techniques. The objectives of the course are to provide an introductory understanding of robotics and intelligent sensors. Students will be exposed to a broad range of topics in robotics and intelligent sensors, with emphasis on basic of manipulators, coordinate transformation and kinematics, trajectory planning, control techniques, mobile robot kinematics, intelligent sensors, especially on the machine learning capability of robot kinematics and dynamics in a closed loop system.

Content:

Overview of robotics. Motion planning and control. Mobile robots. Controller hardware/software systems. Sensor systems and integration.

Learning Outcome:

On completion of this course, the student will be able to model robot manipulators and mobile robots; solve an inverse kinematics problem and plan a robot trajectory; design and analyze robot controllers by using appropriate methods; design basic robot intelligent sensor systems including static system learning (kinematics) and dynamic learning; and intelligent subject recognition.

Textbooks:

• R. J. Schilling, "Fundamentals of Robotics: Analysis and Control," Prentice Hall, 1990.
• R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza, "Introduction to Autonomous Mobile Robots," The MIT Press, 2011.

References:

• S. B. Niku, "Introduction to Robotics: Analysis, Control, Applications," Wiley, 2010.
• J. J. Craig, "Introduction to Robotics: Mechanics and Control," Pearson, 2004.

Copyright © School of Electrical & Electronic Engineering, Nanyang Technological University. All rights reserved.