AlphAI Robots

• A robot learning in front your eyes to embody simple or impressive learning.
  

  
  AlphAI Robot : available in 8 colours

• A graphical interface (the software) to open the “AI black box” and manipulate algorithms, including the famous artificial neural networks.
  

Sensors
Wide angle camera
Ultra sound
Infrared line tracking sensors 

Outputs
2 drive wheels 
Multi-color LEDs
Buzzer

On-board computer
Raspberry Pi Zero (linux, Python)
WiFi  connection to PC

Soft shell
Shock absorbing, removable, available in 8 colours

Obey

Classical Programming

Like any other robot, AlphAI can be programmed with instructions.

Whether in Python or via the graphical interface, your new robot will obey at a glance. If it bumps into something, you’ll know who to blame!

Imitate

Supervised Learning

Create data to train the robot’s AI, starting with remote control. It will then be able to recognize people, compete in a robot race, or perform a choreography.  Hey, looks like it likes you!

Explore

Reinforcement Learning

At the beginning he doesn’t know how to do anything. He bumps, turns around, hesitates… Then, he becomes more confident and develops his interaction skills. Look, he is now able to avoid obstacles, follow a path and even play soccer. Bravo AlphAI! 

• good floor / wall contrast for quick learning
• good detection that the robot is moving 
• size 80x80cm, fits on a large classroom table
• modular:possibility to enlarge, mazes, etc.

4 Arenas combined

Order the Modular Arena 

But, of course, you can also build your own custom arena!

Simple Network

Understand in Details

On simple learning scenarios, understand and teach step by step how artificial neural networks work.

Draw connections inside the network yourself and observe the consequences on the robot’s movements. Thanks to multiple displays (activity values, thickness of connections, colors for learning, etc.), explain visually the learning equations that automatically optimize these connections.

Complex networks

Scale Up

Activate the camera and the intermediate layers of neurons and see how the simple principles detailed in the Simple Network allow the learning of complex behaviors (obstacle avoidance, pushing a ball, etc.) after scaling up to thousands of neurons and hundreds of thousands of connections. You have in front of you all the calculations made, but they are so numerous that we still miss something, isn’t it fascinating?

Other algorithms

Decide like your neighours

Discover – still very visually – other Machine Learning algorithms. In particular, the K-nearest  neighbors algorithm, which is part of several high school curricula, is particularly intuitive and  adapted to introduce supervised learning. Then compare its results to those of neural networks, on the same training database

Standard

Let us Guide You

Select the standard display mode to see only the most common settings. Most importantly, load example configurations to effortlessly run pre-set supervised or reinforcement learning scenarios.

Advanced

Start your own learning process

Test your own learning by selecting the sensors used as inputs, the allowed actions, the reward mode for reinforcement learning.

Finally, select and configure the AI algorithm, for example to test what the intermediate neurons serve to… 

Expert

For Professionals

Use the AlphAI platform to debug your learning model, test the most advanced parameters, study the properties of individual neurons, etc.

"Classical" Programming

Learn to program with AlphAI

A dedicated Python library allows you to take control of the robot from the computer with simple instructions to direct the motors, retrieve sensor data, and program paths, maze exit,  etc., without necessarily requiring AI. It is also possible to run Python code directly on the Raspberry Pi for faster reaction times.

Program the AI

A Modular approach

Choose the “student code" algorithm option and code the one of your choice in the popping-up Python window: the AlphAI platform takes care of all the input-output machinery and you focus on the most interesting! Even easier than AI, program your own reward function to make AlphAI learn new behaviors. Our curricula provide examples exercises to practice basic programming skills while coding an AI.

Other systems

AI Everywhere? 

We are working on making the AlphAI software compatible with other robots and automated systems, so that they can be driven by machine learning. You will also be able to carry out your own projects to develop new materials to be controlled with AlphAI.