Autonomous AI

Autonomous AI aimed at Ayara

Many AIs need to be taught the procedures of tasks that people are doing. We are utilizing Reinforcement Learning and developing technologies that allow robots or drones to judge the situation on their own and perform given tasks (moving autonomously) without human intervention. With this technology and “Edge AI,” we are aiming to introduce it into fields where it is challenging to automate operations.

Example: Cleaning robot

Automation by machine
Automation by machine
Autonomous AI
Autonomous AI

What’s Reinforcement Learning?

Algorithms based on Reinforcement Learning are used to implement Autonomous AI.
Reinforcement Learning is one of the Machine Learning methods in which agents (robots, drones, etc.) act on the environment and learn by trial and error what kind of policy they can use to get the highest “rewards.” When you set appropriate rewards according to the purpose, it is possible to have the agent learn the policy to achieve the mission.

Reinforcement Learning

Application examples

Hazardous area inspection by drone
Hazardous area inspection by drone
Automatic operation of construction machinery
Automatic operation of construction machinery
Manufacturing process automation by collaborative robots
Manufacturing process automation by collaborative robots
Optimum control of air conditioning
Optimum control of air conditioning
Automated gameplay
Automated gameplay
Recommendation function in online service
Recommendation function in online service