How Robotics and Machine Learning Bring us Closer to an Automated Future

Published On: November 26, 2020

Robotics and machine learning are two fields that are advancing the progress of automation around the world. The two fields have already brought us several innovations in automation. Machine learning has developed facial recognition software, customer service chatbots, text-to-speech, and voice assistants like Amazon’s Alexa and Apple’s Siri. Robotics have found their way into every industry from healthcare to food services.

If you want to contribute to the future of automation then there’s no better place to start than with one of Ashton College’s continuing education courses. Ashton offers a robotics course, and a machine learning course, both of which provide you with the skills you need to break into these exciting fields. We’re going to show you what the future of robotics and machine learning looks like, and how Ashton College can help you become a part of it.

Automated Vehicles

Also known as driverless vehicles, these advancements in transportation are close to becoming a real option for consumers across the world. As it stands, some vehicles offer various levels of driver assistance systems, but these don’t meet the standards of a fully autonomous vehicle.

The autonomous vehicle is a perfect partnership between robotics and machine learning. The machine learning component comes through the vehicle’s driving AI, which is responsible for safely navigating the vehicle as it constantly adapts to new information. The information is fed to the AI through a series of cameras, radars, and sensors, which is where robotics comes into play. It is the communication between these two fields that allows the autonomous vehicle to be our future reality.

Ashton College’s robotics training will teach you about various robot structures, as well as the knowledge and skills you need to successfully use sensor feedback controls. A machine learning certification will teach you about the various models of machine learning and how they are used to solve a variety of problems. Taking these courses could be your first step towards finding the next innovation in the automated vehicles industry.

The Internet of Things

The Internet of Things (IoT) refers to the ever-growing network of physical objects that are embedded with sensors, software, and other technologies so that they can connect and exchange data with other devices and systems through the internet. Simply put, the IoT is what makes a great deal of automation possible, particularly in your home. The concept of the smart home has been around for a while, but its current incarnation still has a lot of room to progress and change. Currently, robotics and machine learning make it possible for lighting, heating, air-conditioning, security systems and more to be fully or partially automated. Currently, many smart homes are controlled through apps, but this could change in the future. Advances in brainwave reading technology may make it possible for a future smart home to be controlled exclusively by a device that reads one’s thoughts. The IoT is full of possibilities and opportunities for robotics and machine learning professionals.

Other Applications

Machine learning and robotics are making huge impacts in almost every industry. Warehouse robots are making manual labour jobs easier, law firms are using machine learning to process legal data faster, even the education sector is finding ways to implement automation technology.

Build Your Future

The best time to build your robotics or machine learning skill set is right now. The skills you’ll learn in Ashton College’s continuing education courses will be invaluable in your career pursuits and help you take part in the building of an automated future. Register now for one of their upcoming courses and take your career to the next level.

SHARE ON

    View All Comments

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Submit Enquiry Form