OpenAI Designs an AI-Based Algorithm That Allows a Robot to Mimic Tasks Performed by Humans

In December 2015, Elon Musk and some people and companies in the technology industry joined forces to announce the creation of OpenAI, a non-profit organization with the goal of making the results available worldwide Research in the field of artificial intelligence without requiring financial compensation.

At the time of its creation, the founders of the company explained that their researchers will be strongly encouraged to publish their work in the form of documents, blog posts, code, and patents (if any) World. A few years have now passed, and a few days ago, the company announced the availability of a new algorithm based on artificial intelligence.

OpenAI has announced the availability of a framework allowing robots to learn by imitating what they are given to see. Generally, for a system to be able to master the various facets of a task and run it without

In December 2015, Elon Musk and some people and companies in the technology industry joined forces to announce the creation of OpenAI, a non-profit organization with the goal of making the results available worldwide Research in the field of artificial intelligence without requiring financial compensation.

At the time of its creation, the founders of the company explained that their researchers will be strongly encouraged to publish their work in the form of documents, blog posts, code, and patents (if any) World. A few years have now passed, and a few days ago, the company announced the availability of a new algorithm based on artificial intelligence.

OpenAI has announced the availability of a framework allowing robots to learn by imitating what they are given to see. Generally, for a system to be able to master the various facets of a task and run it without problems, it requires learning tests on a broad range of samples. OpenAI, therefore, wanted to go even faster in learning by allowing robots to learn as human beings do.

This gave rise to the “one-shot imitation learning” framework. With this algorithm, a human can communicate to a robot how to perform a new task after executing it in a virtual reality environment. And from a single demonstration, the robot can perform the same task from an arbitrary initial configuration.

Thus one can construct a policy by learning imitation or reinforcement to stack blocks in towers of 3. But with this new algorithm, researchers have succeeded in designing policies that are not specific to a particular task, but rather can be used by a robot to know what to do in a new situation of a task.

In the above video, OpenAI has a demonstration of the formation of a policy that solves a different instance of the same task with as a learning data the simulation observed on another demonstration.

To stack the blocks, the robot uses an algorithm supported by two neural networks, namely a vision network and an imitation network. The vision array acquires the desired capabilities by recording hundreds of simulated images in a task with different lighting, texture, and object disturbances. The imitation network observes a demonstration, milking, reduces the trajectory of the moving objects and then accomplishes the intention starting with blocks arranged differently.

Below the imitation network, it has a process called “Soft Attention” that deals with both the different steps and actions as well as the appropriate blocks to be used in stacking and also the components of the vector specifying the locations of the various blocks in the environment.

The researchers explain that for the robot to learn a robust policy, a modest amount of noise has been introduced into the results of the script policy. This allowed the robot to perform its task properly even when things go wrong. Without the injection of this noise, the robot would not have been able to generalize what he learned by observing a specific task.

Finally, it should be noted that although the “one-shot imitation learning” algorithm was used to teach a robot to move blocks of colored cubes, it can also be used for other tasks.

Cozmo – The Small Robot With Emotions That Wants to be Loved

A small robot invented by the American company will soon be marketed in other parts of the world. Its name is “Cozmo.” It has the peculiarity of experiencing emotions.

Apparently, it is a kind of small tractor, the size of a toy, with a sympathetic head endowed with a screen simulating an expressive look, which gives it a little air of Wall-E, the robot of the film of the same name.

Behind the Toy, Artificial Intelligence

Cozmo is a robot player. It manipulates connected cubes that light up in color. Mounted on wheels, it moves with a mischievous air. Cozmo recognizes its owner after scanning his face and pronouncing his first name, etc. It will be released at the end of the year at a price of just over 200 euros.

cozmo

 

The most interesting point

A small robot invented by the American company will soon be marketed in other parts of the world. Its name is “Cozmo.” It has the peculiarity of experiencing emotions.

Apparently, it is a kind of small tractor, the size of a toy, with a sympathetic head endowed with a screen simulating an expressive look, which gives it a little air of Wall-E, the robot of the film of the same name.

Behind the Toy, Artificial Intelligence

Cozmo is a robot player. It manipulates connected cubes that light up in color. Mounted on wheels, it moves with a mischievous air. Cozmo recognizes its owner after scanning his face and pronouncing his first name, etc. It will be released at the end of the year at a price of just over 200 euros.

cozmo

 

The most interesting point what is behind the toy. According to the American start-up Anki who is at the origin of Cozmo, this one uses artificial intelligence. Although the concept is fairly overused, the fact is that the toy uses advanced processes to move around, avoid obstacles, etc.

It evolves even according to parameters such as confidence, joy, seduction, excitement, etc. These very human feelings were put into the equation by its creators. This little machine may be a prefiguring of the more advanced robots that will arrive one day in our homes.

Robotic Bermuda May be the Key to the Perfect Runner

For some time the professional scenario of the race has worked closely with technology companies to file microseconds of the performance of the most outstanding athletes in the category.

While much of this effort is focused on more aerodynamic and sweat-suiting suits or sneakers with the perfect footprint for each type of foot, Harvard engineers have decided to take another route to deal with this challenge: a robotic bermuda that can eliminate minutes – Yes, minutes! – of a marathon.

The design of these American researchers is much larger than that of the technological garment. This does not prevent shorts from being used to strengthen the stride and strengthen the leg and waist muscles of the aisle. With mechanical help, it is possible

For some time the professional scenario of the race has worked closely with technology companies to file microseconds of the performance of the most outstanding athletes in the category.

While much of this effort is focused on more aerodynamic and sweat-suiting suits or sneakers with the perfect footprint for each type of foot, Harvard engineers have decided to take another route to deal with this challenge: a robotic bermuda that can eliminate minutes – Yes, minutes! – of a marathon.

The design of these American researchers is much larger than that of the technological garment. This does not prevent shorts from being used to strengthen the stride and strengthen the leg and waist muscles of the aisle. With mechanical help, it is possible to simultaneously add strength to the exercise and reduce the athlete’s energy expenditure by about 5.4%.

An interesting point raised in the project documentation is that a number of tests and prototypes have been done. When the goal is to achieve better performance or efficiency or to simulate or broaden the way the human body functions is not enough. Proof of this is that by changing the moment when the impact of the strides is applied to the hip, scientists simply doubled the effectiveness of the wearable gadget.

Of course, an accessory such as these would hardly be accepted in the professional environment, since it is a much more active aid than that of traditional equipment and clothing. In addition, it is worth mentioning that all the operation of the “exobermuda” depends on a source of energy nothing practical for long walks: an electric cable.

The initiative is currently supported by DARPA and other companies, which indicates that its end use can be both recreational and on the battlefield.