The Internet of Things is the idea of connecting many objects to the internet, sharing information to automate and optimize tasks.
This is a simple task for humans, but for robots, it’s a big challenge. The University of Tokyo built a banana peeler robot.
This post’s topic is an introduction to predictive control. Which is able to predict the outputs of a process in a determined time interval in future.
Interlocking machine learning models allow a robot to execute tasks faster than the ones with only an artificial intelligence program.
In simulated air combat, called dogfight, an artificial intelligence defeats an F-16 pilot of the United States Air Force.
A new Microsoft technology was presented in Las Vegas. A hologram which can speak another language without the person knows the language.
A robotic catheter moves along a pig’s heart to help surgeons.
Toyota built a 2,07 meters basketball player robot. Was demonstrated yesterday at a gym in Tokyo, Japan.
In this post will be explained what is paraconsistent logic, how to deal with non-trivial contradictions and your applications to robotics and automation.
This post’s subject are convolutional neural networks. Are multilayer networks which can identify objects, patterns and people.