Best Robotics And Autonomous Systems Online Course

7 Best Robotics And Autonomous Systems Online Course

For many people, maybe not many are familiar with the term “autonomous system”. In fact, in the field, we have started to see a lot of products made using this system. If you see that there are now many “robots” or “self-driving cars”, then those are some examples of autonomous systems.

Autonomous systems online courses are the perfect gateway for someone who wants to learn this field, as well as learn how to put it into practice. With our recommended autonomy systems online courses, we will learn everything related to it such as learning what tools are often used, including how we become engineers for things related to them, and understand examples of implementing autonomous systems.

An autonomous system involves many things.

In reality, robots and self-driving cars are both autonomous systems. And both product examples can function as desired because there is a very supportive role that makes it all possible, namely Artificial Intelligence (AI).

Then why the autonomous system itself is becoming less popular when compared to robots and self-driving cars?

Before going into the recommendations for online courses on autonomous systems, in the next sections, we will talk a little about how the term autonomy system began to emerge and some examples of its application to autonomous systems.

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Autonomous systems definition.

The term “autonomous system” is a relatively new term. And the dimensions of it are still growing along with the emergence of new technologies and applications.

The development of this dimension may have something to do with the history of the autonomous system itself.

If we look back, we can find many origins and areas where the term is used such as mathematics and networking. This condition then becomes confusing because until now the use of autonomous systems has also continued to develop.

Ok, we’ll take a look at them one by one.

First, we will look at the history of autonomous systems, which is from the realm of mathematics. The Encyclopedia of Mathematics once explained that “autonomous system” is synonymous with “autonomous differential equation”. And in this context then the autonomous system is defined as a system of ordinary differential equations that do not explicitly contain independent variables (time).

Second, from the network realm, an autonomous system is understood as a collection of Internet Protocol routing prefixes controlled by one or more network operators.

From a brief understanding of the two histories, we can then take an understanding of contemporary autonomous systems.

In an autonomous system, hardware and software will work together and take action to solve a problem.

For a system to be truly autonomous, it must be able to collect information, find a solution based on the information gathered, and then take action to solve it.

Autonomous systems examples.

It has been explained above that autonomous systems allow hardware and software to work together to perform certain actions.

Here later we will look at examples of more modern autonomous systems, especially those that can meet the requirements of the definition of an autonomous system. Examples that will be discussed here are:

  • Self-driving cars.
  • Smart thermostat.
  • Home service robots.

Here is an explanation of each:

Self-driving cars.

This type of car is said to be an autonomous system because it is seen from how it works. First, the system in a self-driving car collects information from its sensors. The information is analyzed to plan a specific course of action. Then the system in the self-driving car will instruct it to take actions according to the goals it wants to achieve.

The following is an example of its implementation so that you better understand how autonomous systems are in self-driving cars:

A self-driving car will collect data from its sensors that will indicate a hazard on the road ahead.

The system will then analyze this condition and then develop solution scenarios. The system will look for ways to avoid these dangers.

The system will then instruct to take action to avoid the danger according to the sequence of possible actions such as the car slowing down, turning left, then going straight for a while, turning right again, then going straight for a while, then increasing speed again.

IoT device: a smart thermostat.

A smart thermostat is also an autonomous system because the way it works also fits the definition of an autonomous system.

First, the smart thermostat will collect information about the temperature in a particular environment.

From the information that has been collected, the system will then determine whether the environment needs to be heated or even needs to be cooled.

After determining the steps, then the system will instruct the smart thermostat to take action according to the specified goal.

Home service robots.

Still, with the same concept, the home service robot is also an autonomous system because it has the same sequence of steps.

The first time, the system in the home service robot will collect information (data) about everything around it.

From this information, the system will then identify the desired goal, which is to bring an item from one room to another.

The system will then instruct the home service robot to execute its plan so that the goal of moving the goods is accomplished.

The best recommendations for robotics and autonomous systems online courses.

Ok, now that you understand more about what an autonomous system is, then it’s time for you to start studying it.

As you already know, there are many examples of the application of autonomous systems.

It is normal for an industry to implement an autonomous system, of course, they will involve a lot of resources.

And the good news, you could be one of these resources. What you need to do is simply increase your competence in autonomous systems, whether you later become an engineer, developer, programmer, or other department according to your interests.

Autonomous system online courses here have been adapted to what is often requested in the field. So with online courses, you can learn them more optimally and targeted.

We took the autonomous systems online courses that will be recommended here later from Udacity. We see Udacity is a course provider where they only focus on technology and business. So they really understand what is needed in the field for the development of an autonomous system.

Here are the best recommendations for autonomous systems online courses:

1. Udacity C++ Online Course.

C++ is one of the most popular programming languages for developing autonomous systems. C++ has many advantages so that many developers or programmers finally choose this programming language to create instructions for the autonomous system they build.

With the Udacity C++ online course, you are invited to master C++ by working on five real-world projects in their online course program.

Skills to be learned: Data Structures and Algorithms, Memory Management, Concurrency, Object-Oriented Programming, C++.

Skill level: intermediate, with an estimated completion time of 4 months.

To get good learning results, it is recommended to have a prior understanding of Intermediate Programming.

2. Udacity Machine Learning Engineer Online Course.

In fact, machine learning has now begun to be widely implemented in various industries.

With the Udacity Machine Learning Engineer online course, you are brought to become a powerful machine learning engineer by learning to apply predictive models to massive data sets in fields such as education, finance, healthcare, and robotics.

Skills to be learned: Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning.

Skill level: intermediate, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of Intermediate Python and Machine Learning Algorithms.

3. Udacity Self Driving Car Engineer Online Course.

One example of the application of technology that has revolutionized human life is the emergence of self-driving cars. Technologies involved in making self-driving cars include robotics, machine learning, and engineering.

With the Udacity Self-Driving Car Engineer online course, you will learn the techniques and skills often used by teams from the world’s most advanced technology companies in developing self-driving cars.

Skills to be learned: Computer Vision, Deep Learning, Sensor Fusion, Localization, Self-Driving Cars.

Skill level: advanced, with an estimated completion time of 6 months.

To get good learning results, it is recommended to have a prior understanding of Python, C++, and Mathematics.

​​You can download the details and syllabus for the Udacity Self-Driving Car Engineer online course by clicking the following button.

4. Udacity Robotic Software Engineer Online Course.

If you have read above that robots are one example of the application of autonomous systems, then this online course is your first door to enter this field.

With the Udacity Robotics Software Engineer online course, you are invited to build projects to gain essential robotics software engineering skills such as ROS, Gazebo, Localization, Mapping, SLAM, Navigation, and Path Planning.

Skills to be learned: C++, ROS, Localization, Mapping, SLAM, Navigation, Path Planning, Robot Operating System, Robotics.

Skill level: advanced, with an estimated completion time of 4 months.

To get good learning results, it is recommended to have a prior understanding of Programming and Mathematics.

5. Udacity Intro To Self-Driving Cars Online Course.

If you are interested in the world of self-driving cars but you are new and don’t really understand how this system works, then this online course is for you.

The Udacity Intro To Self-Driving Cars online course is the perfect way for you to start your journey in the world of self-driving cars.

Skills to be learned: Computer Vision, Machine Learning, Vehicle Motion, and Control.

Skill level: intermediate, with an estimated completion time of 4 months.

To get good learning results, it is recommended to have a prior understanding of Programming and Mathematics.

You can download the details and syllabus for the Udacity Intro To Self-Driving Cars online course by clicking the following button.

6. Udacity Sensor Fusion Engineer Online Course.

As you already know, robots or self-driving cars can work well if they have good sensor reading abilities.

With the Udacity Sensor Fusion Engineer online course, you will learn how to combine lidar point clouds, radar signatures, and camera images using Kalman Filters to understand the environment as well as to track vehicles and pedestrians over time.

Skills to be learned: Perception, Lidar, Radar, Sensors, Computer Vision.

Skill level: advanced, with an estimated completion time of 4 months.

To get good learning results, it is recommended to have a prior understanding of Intermediate C++, Calculus, and Probability.

7. Udacity Flying Car And Autonomous Flight Engineer Online Course.

There are not many industries in this field, but if you manage to get a project in the flying car sector, you can be sure it will change a lot of your life.

With the Udacity Flying Car And Autonomous Flight Engineer online course, you will learn to master the work-ready skills for autonomous flight software engineering. Here later you will write code for real aircraft, and develop systems that understand Flying Cars full-stack.

Skills to be learned: 3D Motion Planning, Controls, Estimation, Kalman Filters.

Skill level: advanced, with an estimated completion time of 6 months.

To get good learning results, it is recommended to have a prior understanding of Mathematics and Programming.

Conclusion.

Many people are not familiar with the term autonomous system.

But if you have read the explanations above, surely now you have a better understanding of what an autonomous system is, and you can begin to imagine that in the future there will be a lot of real products made using this autonomous system.

It is proven that this system is capable of revolutionizing many aspects of human life. In a good sense, our lives become simpler with the presence of this autonomous system.

Not only with products that look sophisticated, such as self-driving cars or flying cars, in our daily lives we can also find the application of autonomous systems such as home service robots.

Imagine that in the near future, industries that use autonomous systems will start to emerge. And now is the right time for us to start improving our competence in the field of autonomous systems.

The autonomous system online courses above have been adapted to what has been a demand for autonomous systems in the field.

And why we recommend Udacity, because we see they are one that only focuses on providing online courses in technology. Unlike other online course providers whose programs vary greatly, some may even provide online courses in technology to other unrelated fields, such as cooking courses.

Udacity with its Nanodegeree program is not just an organization that relies on profit, with them only focusing on technology, of course, you can already imagine that the quality of the online courses they offer will definitely be better. They will search for resources for each of their online courses carefully.

Udacity provides expert mentors who are proven to be experienced in their fields. You will also get direct access to technical support mentors who will answer any difficulties you may encounter while you are taking their online courses.

And most importantly, you can work on real-world projects in any of Udacity’s online courses. You will benefit from this program because you can experience firsthand how this autonomous system works in the field. Indirectly this will provide work experience for you from well-known companies.

Udacity also understands that everyone is different in their busy lives. Therefore, Udacity provides flexibility for anyone who registers to be able to determine their own course schedule. For someone who learns at their own pace, surely their learning results will be more optimal.

So how?

Are you one of those who are interested in coding as well as building an autonomous system? Or do you have a fresh idea to apply an autonomous system to a real product? So make sure you learn autonomous systems from the online courses mentioned above.

>> You can also see the complete list of Udacity Autonomous Systems online courses via this link.


Resources:
Udacity: What an autonomous system is.

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