Stanford Engineering Everywhere: CS223A - Introduction to Robotics
Beginner
Course
Theory
The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of...
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Autonomous Navigation, Part 2: Understanding the Particle Filter
16 min
Beginner
Video
Theory
This video presents a high-level understanding of the particle filter and shows how it can be used in Monte Carlo localization to determine the pose of a mobile robot inside a building. We...
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Radar Tutorial (English)
Beginner
Article / Blog
Theory
This page provides a detailed overview of radar principles and technologies, including mathematical, physical and technical explanations. “Radartutorial” explains the fundamentals of radar...
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An introduction to Beamforming
14 min
Beginner
Video
Theory
This video talks about how we actually have more control over the shape of the beam than just adding additional elements, or adjusting the position and orientation of the elements. We can...
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Free Video Course in Radar Systems Engineering
Beginner
Course
Theory
This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...
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An Introduction to the Kalman Filter
45 min
Beginner
Article / Blog
Theory
The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman...
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Reinforcement Learning for Engineers, Part 4: The Walking Robot Problem
14 min
Beginner
Video
Theory
This video shows how to use the reinforcement learning workflow to get a bipedal robot to walk. It also looks at how to modify the default example to make it look more like how one would set...
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Understanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?
12 min
Beginner
Video
Theory
This video provides an overview of what sensor fusion is and how it helps in the design of autonomous systems. It also covers a few scenarios that illustrate the various ways that sensor...
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Reinforcement Learning for Engineers, Part 3: Policies and Learning Algorith...
17 min
Beginner
Video
Theory
This video provides an introduction to the algorithms that reside within the agent. We’ll cover why we use neural networks to represent functions and why you may have to set up two neural...
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Modeling Physical Systems, An Overview
7 min
Beginner
Video
Theory
This video sets the stage for the topics that I want to cover over the next month or two. This is an overview of how you go from a physical system to a linear model where you can design a...
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FMCW Radar for Autonomous Vehicles | Understanding Radar Principles
18 min
Beginner
Video
Theory
Watch an introduction to Frequency Modulated Continuous Wave (FMCW) radar and why it’s a good solution for autonomous vehicle applications. This demonstration will show how FMCW radar can...
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System Identification Overview
Beginner
Article / Blog
Theory
System identification is a methodology for building mathematical models of dynamic systems using measurements of the input and output signals of the system. This overview from Mathworks...
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Reinforcement Learning for Engineers, Part 2: Understanding the Environment ...
13 min
Beginner
Video
Theory
In this video, we build on our basic understanding of reinforcement learning by exploring the workflow. We cover what an environment is and some of the benefits of training within a...
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Control Systems in Practice, Part 7: 4 Ways to Implement a Transfer Function...
18 min
Beginner
Video
Theory
In some situations, it is easier to design a controller or a filter using continuous, s-domain transfer functions. We have a lot of mathematical tools that make analyzing and manipulating...
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Using the Control System Designer in Matlab
53 min
Beginner
Video
Theory
In this video we show how to use the Control System Designer to quickly and effectively design control systems for a linear system. We show how to add multi...
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An Introduction to Multi-Agent Reinforcement Learning
Beginner
Video
Theory
Learn what multi-agent reinforcement learning is and some of the challenges it faces and overcomes. You will also learn what an agent is and how multi-agent systems can be both cooperative...
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Understanding PID Control, Part 6: Manual and Automatic Tuning Methods
13 min
Beginner
Video
Theory
The previous video showed three different approaches to developing a mathematical model of your physical system. Now that we have this model, we can use it to tune a PID controller that will...
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Control Systems in Practice, Part 9: The Step Response
15 min
Beginner
Video
Theory
This video covers a few interesting things about the step response. We’ll look at what a step response is and some of the ways it can be used to specify design requirements for closed loop...
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Understanding Kalman Filters, Part 4: An Optimal State Estimator Algorithm
9 min
Beginner
Video
Theory
Discover the set of equations you need to implement a Kalman filter algorithm. You’ll learn how to perform the prediction and update steps of the Kalman filter algorithm, and you’ll see how...
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Model Predictive Control
12 min
Beginner
Video
Theory
This lecture provides an overview of model predictive control (MPC), which is one of the most powerful and general control frameworks. MPC is used extensively in industrial control settings...
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Adaptive Control Basics: What Is Model Reference Adaptive Control?
17 min
Beginner
Video
Theory
Use an adaptive control method called model reference adaptive control (MRAC). This controller can adapt in real time to variations and uncertainty in the system that is being controlled...
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Understanding Kalman Filters, Part 3: An Optimal State Estimator
7 min
Beginner
Video
Theory
Watch this video for an explanation of how Kalman filters work. Kalman filters combine two sources of information, the predicted states and noisy measurements, to produce optimal, unbiased...
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Autonomous Navigation, Part 4: Path Planning with A* and RRT
18 min
Beginner
Video
Theory
This video explores some of the ways that we can use a map like a binary occupancy grid for motion and path planning. We briefly cover what motion planning means and how we can use a graph...
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DC Motor Speed: System Modeling
Beginner
Project
Theory
This examples walks through modeling a simple DC motor in MATLAB.
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Understanding PID Control, Part 4: A PID Tuning Guide
12 min
Beginner
Video
Theory
It can be difficult to navigate all the resources that promise to explain the secrets of PID tuning. Some proclaim that PID tuning is an art that requires finesse and experience, while...
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