- Operation and Control
Laser welding control technology using reinforcement learning
Applications
- Welding process automation/optimization
- Laser processing automation/optimization
Benchmarks, strengths, and track record
- Can optimize controls without system modeling by a specialist or teaching by an expert because it learns control methods for minimizing error of bead width through trial and error on a simulator.
- Uses an original learning method (a new reward definition and a learning parameter update method) because welding speed cannot be optimized by applying conventional reinforcement learning methods.
Inquiries
Contact the Toshiba Corporate Research & Development Center
Please include the title “Toshiba AI Technology Catalog: Laser welding control technology using reinforcement learning” or the URL in the inquiry text.
Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.