Overview
In this introductory-level course, we’ll explore the world of autonomous robots and robotic systems. We'll cover the fundamentals of robotic architecture and talk about the high-level structure of autonomy software. Starting with traditional methods, we’ll learn about key components such as sensing, perception, mapping, localization, navigation, and control. The course also examines current trends and future directions in robotics technology, including the application of foundation models. This course is designed for software engineers, robotics enthusiasts, and anyone interested in understanding the basics of autonomous robotic systems.
Course Description & Learning Outcomes
Identify the key components and types of autonomous robots.
Describe the basic principles of embodied AI in robotics.
Recognize the main elements of robotic systems and architecture.
List the primary sensors and perception techniques used in robotics.
Outline the fundamental concepts of localization and mapping in autonomous navigation.
Recall the basic principles of control systems in robotics.
Identify current trends and challenges in robotics, including the use of foundation models.
Recommended Prerequisites
No prior knowledge of robotics is required, but a general understanding of software frameworks and programming concepts is beneficial.
Schedule
Date: 13 Mar 2025, Thursday
Time: 2:00 PM - 3:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 32 Carpenter Street, 059911
