Introduction to Robotics with Webots
The overarching learning goal of this specialization in robotics is to create an appreciation for the tight interplay between mechanism, sensor, and control in the design of intelligent systems. By the end of this specialization, you will be able to (1) formally describe the forward and inverse kinematics of a mechanism, (2) discretize the robot’s state from algorithmic reasoning, and (3) understand the sources of uncertainty in sensing or actuation and describe them mathematically.
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- Level Professional
- Course by University of Colorado Boulder
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The overarching learning goal of this specialization in robotics is to create an appreciation for the tight interplay between mechanism, sensor, and control in the design of intelligent systems. By the end of this specialization, you will be able to (1) formally describe the forward and inverse kinematics of a mechanism, (2) discretize the robot’s state from algorithmic reasoning, and (3) understand the sources of uncertainty in sensing or actuation and describe them mathematically. During this specialization, you will gain hands-on experience in Python and use the realistic robotic system simulator, “Webots”.Auto Summary
Discover the dynamic world of robotics with "Introduction to Robotics with Webots" on Coursera. This professional-level course in Data Science & AI, led by expert instructors, delves into the synergy between mechanism, sensor, and control in intelligent systems. Gain hands-on Python experience and master the Webots simulator while learning to describe kinematics, discretize robot states, and understand sensing uncertainties. Flexible subscription options include Starter and Professional plans. Ideal for aspiring robotics professionals seeking comprehensive, practical knowledge.
Nikolaus Correll