ROBOTICS TRAINING
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1. Introduction to Robotics:
• Overview of robotics and its applications.
• Historical development and key milestones in robotics.
• Introduction to basic concepts, terminology, and classifications in robotics.
2. Mechanical Engineering for Robotics:
• Study of materials and mechanics relevant to robot design.
• Kinematics and dynamics of robotic systems.
• Mechanical components and systems used in robotics.
3. Electronics and Electrical Engineering:
• Basic electronics and circuits.
• Sensors and actuators used in robotics.
• Power systems and electrical components.
4. Programming for Robotics:
• Introduction to programming languages commonly used in robotics (e.g., Python, C++).
• Control algorithms and software development for robots.
5. Robotics Software Tools:
• Hands-on experience with popular robotics simulation tools.
• Programming and simulation of robot motion and behavior.
6. Computer Vision and Image Processing:
• Understanding computer vision principles for robots.
• Image processing techniques for object recognition and tracking.
7. Artificial Intelligence in Robotics:
• Integration of AI techniques in robotics.
• Machine learning for robotic applications.
8. Robotics Hardware Design:
• Design and fabrication of robot components.
• 3D modeling and prototyping.
9. Robotics Project:
• A significant portion of the course may be dedicated to a practical project where students apply their knowledge to design, build, and program a robot.
10. Ethical and Social Implications:
• Discussions on ethical considerations in robotics.
• Exploration of the societal impact of robotics and automation.
11. Industry Integration:
• Guest lectures or industry visits to expose students to real-world applications and challenges in the field.
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