Enroll Course: https://www.coursera.org/learn/robotics-perception
If you’re fascinated by how robots understand and navigate their environment, the ‘Robotics: Perception’ course on Coursera is an outstanding choice. This course offers an in-depth exploration of how cameras and visual data are used by robots to perceive the world, enabling tasks like navigation and object manipulation. The course starts with the basics of camera models and geometry of image formation, giving learners a solid foundation in how 3D scenes are projected onto 2D images. It then delves into the complexities of perspective transformations and how vanishing points can reveal more about a scene than meets the eye.
One of the highlights of this course is the focus on pose estimation, where you’ll learn to find and track features across images and videos, applying techniques like homographies and robust algorithms such as RANSAC. The module on multi-view geometry is particularly exciting, as it covers how to reconstruct 3D environments from multiple images, culminating in the ‘Structure from Motion’ technique that enables the creation of 3D maps and trajectories.
What makes this course highly recommended is its clear structure, engaging tutorials, and practical projects that reinforce learning. Whether you’re an aspiring roboticist, a computer vision enthusiast, or someone interested in the latest in autonomous systems, this course will greatly enhance your understanding of robotic perception. With its comprehensive syllabus and hands-on approach, ‘Robotics: Perception’ is a valuable addition to your learning journey in robotics and AI.
Enroll Course: https://www.coursera.org/learn/robotics-perception