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Introduction to Robotics with Webots

Nikolaus Correll

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”.

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What's inside

Three courses

Basic Robotic Behaviors and Odometry

(50 hours)
This course provides an introduction to autonomous mobile robots, including forward kinematics, basic sensors and actuators, and simple reactive behavior. You will experiment with simple reactive behaviors for collision avoidance and line following, state machines, and basic forward kinematics of non-holonomic systems.

Robotic Mapping and Trajectory Generation

(50 hours)
In this course, you will learn to perform basic inverse kinematics of (non-)holonomic systems using a feedback control approach. You will also learn how to process multi-dimensional sensor signals for mapping. Additionally, you will apply techniques to model and control uncertainty.

Robotic Path Planning and Task Execution

(50 hours)
This course teaches basic approaches for planning robot trajectories and sequencing their task execution. You will develop standard algorithms such as Breadth-First Search, Dijkstra's, A* and Rapidly Exploring Random Trees. You will implement Behavior Trees for task sequencing and experiment with a mobile manipulation robot "Tiago Steel".

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

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