Introduction to Robotics

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About Course

This course will be available in full from 1st June 2024.

What Will You Learn?

  • Upon completing this course, learners will:
  • Gain a deep understanding of the fundamental concepts of robotics, including kinematics, sensors, actuators, control systems, and programming.
  • Explore the mechanics of robotics, including robot manipulators, arms, end-effectors, and mobility systems.
  • Develop proficiency in robot programming languages and platforms, such as Python, ROS, and motion planning algorithms.
  • Understand perception techniques in robotics, including computer vision, object recognition, tracking, and sensor fusion.
  • Explore real-world applications of robotics in industries such as manufacturing, healthcare, autonomous vehicles, and drones.
  • Examine ethical and societal implications of robotics, including privacy, security, and employment considerations.
  • Investigate emerging trends and future directions in robotics, including advanced technologies and bio-inspired robotics.

Course Content

Introduction to Robotics
This chapter provides a foundational understanding of robotics, setting the stage for more in-depth exploration of the technical, practical, and ethical aspects of this rapidly evolving field. Robotics, a field at the intersection of engineering, computer science, and mathematics, has captivated human imagination for decades. This chapter serves as an introduction to the world of robotics, providing insight into its history, fundamental concepts, and diverse applications.

  • Overview of robotics
  • Historical background
    00:00
  • Importance and applications
    00:00
  • Quiz 1

Fundamental Concepts

Sensors and Actuators
By integrating various sensors and actuators, and employing robust feedback systems, robots can perform complex tasks with high precision and reliability. This chapter provides a foundation for understanding how these components work together to enable robotic functionality.

Robot Programming
By understanding and mastering these programming languages, tools, and techniques, learners can develop sophisticated robotic applications that perform complex tasks with high reliability and efficiency.

Robot Control
In summary, effective robot control requires understanding and implementing closed-loop systems, tuning PID controllers for optimal performance, and using advanced trajectory following techniques to ensure robots can perform precise and complex tasks in dynamic environments.

Robotics Mechanics
By understanding the mechanics of robot manipulators and arms, the functionality of various end-effectors, and the principles of mobility and locomotion systems, we can design and control robots that are capable of performing a wide range of tasks in diverse environments.

Robotics Perception
By leveraging the principles of computer vision, object recognition and tracking, and sensor fusion, robots can achieve sophisticated perception capabilities, enabling them to interact intelligently and effectively with their environment.

Robotics Applications
By leveraging the capabilities of industrial, service, autonomous, and specialized robots, we can achieve significant advancements across various domains, enhancing productivity, safety, and quality of life.

Ethical and Societal Implications
By addressing these ethical and societal implications, we can harness the transformative potential of robotics while minimizing risks and maximizing benefits for individuals, communities, and society as a whole.

Emerging Trends and Future Directions
By embracing emerging trends, addressing key challenges, and fostering collaboration and innovation, the field of robotics is poised to make significant advancements and shape the future of technology, society, and human-machine interaction.

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