Robotics: Perception (Coursera)
How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.
Robotics: Perception is course 4 of 6 in the Robotics Specialization.
The Robotics Specialization introduces you to how robots sense and reason about the world they live, how they plan three dimensional movements in a dynamic environment and how they fly or run while adapting to uncertainties in the environment. You will be exposed to real world examples with drones, legged robots and driverless cars. The courses build towards a capstone in which you will learn how to program robots to perform a variety of tasks in unstructured, dynamic environments. To see a video introduction from Penn Engineering’s Dean Vijay Kumar, please click here.
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