- Control and optimization
Multi-robot task ＆ Motion planning
A machine learning algorithm is used to automate the distribution of tasks among multiple robots on an assembly line.READ MORE
An SMT(*) line’s cycle time depends on the sequence in which electronic components are mounted on the PCB. Depending on the type of PCB, algorithms are required to plan efficient mounting sequences to reduce cycle time.
(*) Surface Mount Technology : mounting and soldering various components, such as semiconductors, to the surface of PCBs
Reinforcement learning can be used to plan the mounting sequence of electronic components efficiently. Using a simulator of the PCB assembly process, a reinforcement learning agent is trained to complete assembly in in the shortest possible period of time.
With a more efficient mounting sequence, the overall PCB production time can be shortened. It allows us to produce a greater number of PCBs in a shorter period of time.
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