Abstract: Provided is a generation system including: one or more processors which acquire waveform data; specify an intention of a user; and generate pseudo waveform data from the waveform data acquired in such a manner that an intention of a user specified is reflected. Provided is a method for generating a waveform evaluation model executed by a computer, including: acquiring waveform data; specifying an intention of a user; generating pseudo waveform by generating pseudo waveform data from the waveform data acquired in the acquiring the waveform data in such a manner that the intention of the user specified in the specifying the intention is reflected; and executing learning by executing machine learning using the pseudo waveform data generated in the generating the pseudo waveform to generate a waveform evaluation model which outputs an evaluation result of input waveform data.

Abstract: A robot system includes circuitry and a robot. The circuitry is configured to set, based on a plurality of workpieces that move along a conveying surface, a window corresponding to n workpieces of the plurality of workpieces, according to an inflow order that is an order in which the plurality of workpieces have moved along the conveying surface, where n>1. The circuitry is further configured to determine a picking order by an optimization algorithm, based on a position of each of the n workpieces. The picking order is an order of picking one or more of the workpieces from the conveying surface and is different from the inflow order. The circuitry is further configured to select m workpieces from the window based on the picking order, where n>m. The robot is configured to pick the selected m workpieces from the conveying surface in the picking order.

Abstract: A planning system includes search circuitry configured to run a simulation to repeatedly generate candidate positions which are candidates for a target position with respect to a motion of a robot, and selection circuitry configured to select the target position among the candidate positions. The search circuitry includes evaluation circuitry configured to calculate an evaluation value corresponding to each of the candidate positions, estimation circuitry configured to generate a calculation model showing a relationship between each of the candidate positions and the evaluation value with a regression analysis, and setting circuitry configured to set a new candidate position based on the calculation model.