Technology
Aigen Uses Simulation Platform to Teach Solar-Powered Agricultural Robots New Crops Within a Week
Aigen announced it has developed a simulation and world model system that can train its autonomous agricultural robots to adapt to new crops in less than a week. Its Alchemy simulation platform generates synthetic training data with pixel-level annotations, used to train the solar-powered Element robots before field deployment.
Published · Updated · Source: Robotics & Automation News · AI translation
According to Robotics & Automation News, Aigen says its developed simulation and world model system can enable autonomous agricultural robots to master the ability to work on new crops in less than a week. The company's Alchemy simulation platform generates synthetic training data with pixel-level annotations, which is used to complete training before the robots go into the field, thereby shortening the adaptation cycle for new crops.
The relevant training target is Aigen's solar-powered Element robot. The above information comes from the original source, was organized by AI, and was not independently tested.
Read the original source