Enroll Course: https://www.coursera.org/learn/robotics-perception

In the rapidly evolving field of robotics, perception is crucial for enabling machines to understand and interact with their environments. Coursera’s course titled ‘Robotics: Perception’ offers a comprehensive exploration of how robots perceive the world around them and their own movements. This course dives into the principles of image processing, geometry, and pose estimation, equipping learners with vital skills needed in robotics.

The course starts with an introduction to the Geometry of Image Formation. Understanding how camera models work forms the foundation of perception in robotics. This section provides learners with a mathematical framework to grasp how 3D points correlate with images captured by robots.

The second module, Projective Transformations, addresses the challenges posed by perspective projections. It delivers insights into how dimensions are lost in perception and discusses complex concepts such as vanishing points that will help you build a deeper understanding of scene reconstruction.

Next, the Pose Estimation module takes the learning further by focusing on feature extraction from images. This is where learners gain hands-on experience in tracking salient points in video sequences and estimating camera positions relative to reference frames, utilizing techniques like Homographies and RANSAC.

Finally, we reach the Multi-View Geometry module, which expands on the previous lessons. This section introduces learners to extracting relative camera poses from consecutive frames, culminating in the application of Structure from Motion—a powerful tool that allows for 3D mapping and trajectory tracking of cameras in motion.

Overall, ‘Robotics: Perception’ is an engaging and informative course that not only enhances theoretical knowledge but also offers practical skills that can be applied in real-world robotics applications. The blend of math, programming, and hands-on projects makes it an invaluable resource for anyone interested in robotics.

Whether you are a student, a professional in the field, or simply a robotics enthusiast, I highly recommend enrolling in this course. The ability to understand and implement robotic perception will pave your way to contributing to innovations in this exciting field.

Enroll Course: https://www.coursera.org/learn/robotics-perception