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”.
What's inside
Three courses
Basic Robotic Behaviors and Odometry
(50 hours)
Basic Robotic Behaviors and Odometry
(50 hours)
Robotic Mapping and Trajectory Generation
(50 hours)
Robotic Mapping and Trajectory Generation
(50 hours)
Robotic Path Planning and Task Execution
(50 hours)
Robotic Path Planning and Task Execution
(50 hours)Learning objectives
- Forward and inverse kinematics of holonomic and non-holonomic mechanisms
- Discrete planning of trajectories and behaviors for robots
- Understand the sources of uncertainty in robotic sensing and actuation
- Forward and inverse kinematics of holonomic and non-holonomic mechanisms
- Discrete planning of trajectories and behaviors for robots
- Understand the sources of uncertainty in robotic sensing and actuation
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