MLearning.ai
Published in

MLearning.ai

Machine Learning Art

How do we control robots?

Deep Reinforcement Learning

What are our options for controlling robots? Robots under Human Control Tether (wired), wireless, or autonomous control are the most common methods for controlling robots. Tethered The simplest method of controlling a robot is to use a portable controller that is physically attached to the robot through cables or a cable.
https://mlearning.substack.com

What is a controlled robot, exactly?

A controlled robot does not have the same independence. Consider a controlled robot as if you were using a remote control to move it around and instruct it where to go. This isn’t to suggest that a remote control can’t or won’t…

--

--

--

Data Scientists must think like an artist when finding a solution when creating a piece of code. ⚪️ Artists enjoy working on interesting problems, even if there is no obvious answer ⚪️ linktr.ee/mlearning 🔵 Follow to join our 18K+ Unique DAILY Readers 🟠

Recommended from Medium

AI’s Influence on Our Lives

Artificial Intelligence is the Game Changer in Empowering the Management of the Company

The Leaders of AI

Embracing Artificial Intelligence in Smart Cities

Artificial Intelligence solutions with Edge computing

AI Strategies That Can Be Deployed By Companies to Acquire & Retain customers

Artificial Intelligence: Finding the Perfect Balance for Optimal Claims

Manufacturing Becomes More Inclusive As AI Enables Hiring Of Workers With Disabilities

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Eva Rtology

Eva Rtology

AI-power for digital ART 🟣 evartology.medium.com/membership | Become a Writer at ➡️ https://medium.com/data-driven-fiction/how-to-submit-5e0808dce313 🎁

More from Medium

The new method — face manipulation

Face manipulations may deliver high-quality, high-resolution, and high-diversity face synthesis and manipulation outcomes without any limits on the amount or content of input captions. This is because face manipulations use high-resolution images.

A Student Researcher’s view on Conversational AI

A Native Toffoli Gate

How A Quantum Computing Internship Helped My Data Science Career