1 | Review of Robotics Foundations | Begin by reviewing key concepts covered in
earlier classes, such as electronics, programming fundamentals, sensors, and actuators. Ensure that students have a solid understanding of these foundational topics. |
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2 | Advanced Programming and Software Development | Dive deeper into programming concepts relevant
to robotics, such as advanced data structures, algorithms, and software development methodologies. Explore programming languages commonly used in robotics, such as Python or C++. Emphasize good coding practices, modular design, and documentation |
3 | Robotics Control Systems | Introduce the concepts of control systems and
feedback loops in robotics. Cover topics such as PID (Proportional-Integral-Derivative) control, closed-loop control, and system dynamics. Demonstrate how to apply control algorithms to improve robot performance and stability. |
4 | Robot Perception and Computer Vision | Discuss advanced topics related to robot
perception and computer vision. Explore techniques like image processing, object recognition, feature extraction, and SLAM (Simultaneous Localization and Mapping). Teach students how to integrate cameras or depth sensors into their robot systems. |
5 | Robot Localization and Mapping | Deepen students' understanding of robot
localization and mapping algorithms. Cover techniques such as Kalman filtering, particle filters, and occupancy grids. Provide hands-on activities for students to implement localization and mapping algorithms in their robots. |
6 | Machine Learning in Robotics | Introduce the basics of machine learning and
its applications in robotics. Cover topics such as supervised learning, reinforcement learning, and computer vision-based machine learning. Demonstrate how machine learning algorithms can be used for object recognition, motion planning, or decision-making in robots |
7 | Advanced Robotics Challenges and Projects | Assign complex robotics challenges that require
integration of various concepts learned. Encourage students to work on independent robotics projects that align with their interests and passions. Provide mentorship and guidance throughout the project development process. Encourage experimentation and innovation in their project designs |
8 | Robotics Competition Preparation: | If applicable, prepare students for robotics
competitions by simulating competition scenarios and providing guidance on
strategies and optimization. Assist students in refining their projects and ensuring they meet competition requirements and constraints. |
9 | Presentation and Peer Review | Organize a presentation session where students
showcase their projects and explain their design choices, algorithms, and
outcomes. Encourage constructive feedback and peer review among students to foster collaboration and continuous improvement. |
10 | Future Paths and Real-World Applications | Discuss potential career paths and higher
education opportunities in the field of robotics. Highlight real-world applications of robotics, such as industrial automation, healthcare robotics, or autonomous vehicles. Explore emerging trends in robotics, such as swarm robotics, human-robot interaction, or bio-inspired robotics. |