Unlock the future: how automated Machine Learning will revolutionize robots and drones
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Disclosure: this article has been written by AI and edited both by human and AI-powered tools
In this blog post, we will explore how the AutoML frameworks for robots & drones will revolutionize the way these machines operate in the physical world. We’ll cover the associated challenges, the advantages of dedicated ML tools, and how autonomous machines can achieve greater accuracy and lower latency, which are crucial in the challenging, unpredictable physical world.
Challenges of operating in the physical world
Operating in the physical world presents a unique set of challenges for autonomous machines. They must be able to accurately recognize visible objects, events, and interact with their environment.
And what is important – they must be able to do so in real time. To realize their tasks, avoid collisions and other undesirable outcomes.
This means that the machine must be able to process large amounts of data, and it must do it efficiently without draining its battery. In addition, it must be able to make decisions quickly and accurately.
The machine has to be able to learn from its environment and use that knowledge to make decisions. To operate in a variety of environments and conditions. Recognize changes in its environment and adapt accordingly. It must also be able to recognize obstacles and avoid them in order to safely and efficiently navigate its environment.
Advantages of dedicated AutoML frameworks
Popular Deep Learning frameworks were not designed to address the challenges of operating in the physical world. They are specifically designed to process large amounts of data in rich computing resources of the cloud environment.
In dramatically different conditions than the local processing unit and a requirement for both high accuracy and low latency. An attempt to use available ML solutions often means the need to sacrifice accuracy to be able to run a model on the machine.
But in the physical world, a mistake often leads to negative consequences. You can’t be correct in 85% of cases. It is not enough. The most effective ML models are required within a restricted computational capability.
How to deal with that?
AutoML Framework for Robots & Drones
AGICortex’s AutoML framework for robots & drones is designed to optimize accuracy, data processing, and battery level. It is specifically designed to address the challenges of operating in the physical world – by switching contexts of operation.
The AutoML framework is designed to leverage machine learning algorithms to enable robots and drones to accurately operate in and interact with their environment. It is designed to allow autonomous machines to quickly and accurately make decisions based on their environment. This is especially useful for those that are expected to operate in a variety of environments and conditions.
In addition, the AutoML framework is designed to use less energy than traditional solutions. This enables robots and drones to operate for longer periods of time without draining their battery. This is especially useful for machines that are expected to operate in remote locations.
Finally, the AutoML framework is designed to allow for quick and accurate processing of large amounts of data. This enables robots and drones to recognize changes in their environment and adapt accordingly.
Conclusion
Autonomous machines operating in the physical world require high accuracy and low latency. Deep Learning frameworks were designed for the cloud environment but are not suitable for robots and drones with local data processing.
That’s why we have developed an AutoML framework for robots & drones that optimizes accuracy, data processing, and battery level. The AutoML framework is specifically designed to address the challenges of operating in the physical world.
It enables robots and drones to recognize elements of the world and interact with their environment, make decisions quickly and accurately, and operate for longer periods of time without draining their battery. Our AutoML framework for robots & drones is revolutionizing how robots and drones operate in the physical world. If you’re interested in learning more about our AutoML framework for robots & drones, please contact us and let’s discuss our potential cooperation.
