Realizing automation (autopilot) of construction machinery with AI
We will develop AI that automates the operation of construction machinery (crane, hydraulic excavator, etc.), industrial cranes, forklifts, etc.
We provide the creation and implementation of AI algorithms as a series of services for construction companies and construction machinery manufacturers working on automation development.
EXAMPLES OF AI-BASED AUTOMATION METHODS
By attaching cameras and sensors to navigate the environment (situation) and a module to operate levers to the actual construction equipment, AI will create and control the machine's autopilot mode.
Reinforcement Learning and Imitation Learning for Automation
There are two methods to create autonomous construction equipment:
The first method is "Reinforcement Learning."
Autonomous construction equipment learns by trial and error of various maneuvers in its own environment (simulation environment or actual site).
It takes a lot of time to learn, but it can gain more control than humans.
The second is a method that uses "imitation learning."
Autonomous construction equipment learns equivalent operations based on human (skilled engineer) model data.
It is believed that it will be possible to achieve the same level of action as humans in a relatively short time.
Demonstration using simulator
Demo 1: Excavating soil with a hydraulic excavator
Utilizing the industrial simulator "Vortex Studio" (provided by CM Labs Simulations / Information Services International-Dentsu), we trained hydraulic excavators to excavate more than a certain amount of soil through reinforcement learning.
Demo 2: Stop a crane's suspended load from shaking
A skilled human crane operator can stop the shaking of a suspended load by manipulating it when it shakes. In the same way, we have trained the crane to stop the load from shaking by reinforcement learning.