Aims:
1. To develop an understanding of concepts and applications in Robotics and Artificial Intelligence (AI).
2. To develop competencies in Robotics and AI via classroom instruction, laboratory, and self-directed project-based learning approach.
3. To facilitate appreciation, understanding, and application of concepts of Robotics and AI through learning and engaging in hands-on activities.
4. To instill AI-Readiness skills in students vide key concepts in AI, such as Data, Computer Vision, and Natural Language Processing.
5. To introduce the students to the concepts of AI Project Framework.
6. To familiarize students with computational skills (basic Python coding language).
7. To create awareness about ethical considerations of AI.

The “Introduction to STEM & Robotics” course is designed to equip team members with a foundational understanding of Science, Technology, Engineering, and Mathematics (STEM) concepts, as well as the fundamentals of robotics. Through a series of engaging modules, participants will explore the exciting world of STEM disciplines, learning how they contribute to cutting-edge advancements in robotics and automation.

Introduce STEM Fundamentals: The course begins with an overview of the core principles and applications of STEM in various fields, such as physics, mathematics, and computer science. Participants will gain insights into how STEM subjects intersect and create a strong foundation for robotics.

Robotics Basics: Participants will delve into the world of robotics, understanding the basic components, types of robots, and their applications in real-world scenarios. They will learn about sensors, actuators, programming, and the key challenges faced in robotics.

Programming for Robotics: This module introduces participants to programming languages commonly used in robotics, such as Python and C++. They will learn to code simple robot movements and perform basic tasks using hands-on exercises and simulations.

Kinematics and Motion: Participants will explore the principles of kinematics, understanding how robots move and manipulate objects in three-dimensional space. They will learn about coordinate systems, joints, and the mathematics behind robot motion.

Sensors and Perception: In this module, team members will learn about various sensors used in robotics, including proximity sensors, cameras, and LIDAR. They will understand how robots perceive the world around them and make decisions based on sensor data.

Robotics in Automation: The course will showcase real-world applications of robotics in industrial automation, healthcare, exploration, and other domains. Participants will gain insights into how robotics revolutionizes these industries and enhances efficiency and safety.

Challenges and Future of Robotics: The final module will focus on the current challenges faced in robotics, such as ethical considerations, human-robot interaction, and the integration of AI. Participants will also explore the potential future developments in robotics.

Course Format:
The course will be delivered through a combination of engaging video lectures, interactive quizzes, hands-on coding exercises, and virtual robotics simulations. Participants will have access to the Learning Management System (LMs) portal, where they can track their progress, interact with instructors, and collaborate with fellow team members.

Target Audience:
This course is suitable for team members with little to no prior experience in STEM and robotics. It is ideal for individuals who wish to gain a comprehensive understanding of how STEM principles merge with robotics technologies to create innovative solutions.

By the end of the course, participants will have a solid grasp of the essential concepts of STEM and robotics, empowering them to explore more advanced topics in the field and contribute actively to projects involving robotics and automation.