US 11,654,553 B2
Robot system and driving method
Shuhei Nitta, Ota (JP); Atsushi Yaguchi, Taito (JP); Yukinobu Sakata, Kawasaki (JP); Akiyuki Tanizawa, Kawasaki (JP); Yasutoyo Takeyama, Kawasaki (JP); and Tomoki Watanabe, Inagi (JP)
Assigned to KABUSHIKI KAISHA TOSHIBA, Minato-ku (JP)
Filed by KABUSHIKI KAISHA TOSHIBA, Minato-ku (JP)
Filed on Feb. 25, 2020, as Appl. No. 16/799,955.
Claims priority of application No. JP2019-161475 (JP), filed on Sep. 4, 2019.
Prior Publication US 2021/0060768 A1, Mar. 4, 2021
Int. Cl. B25J 9/16 (2006.01); G06N 3/08 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 3/047 (2023.01)
CPC B25J 9/163 (2013.01) [B25J 9/1612 (2013.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01)] 9 Claims
OG exemplary drawing
 
8. A driving method, comprising:
acquiring first input data predetermined as data affecting an operation of a robot;
calculating, based on the first input data, a calculation cost of inference processing required for a machine learning model to infer control data used for controlling the robot;
inferring the control data by the machine learning model set according to the calculation cost; and
controlling the robot using the inferred control data,
wherein the calculation step comprises calculating the calculation cost by using one of a previously obtained function that inputs the first input data and outputs the calculation cost, or a distribution indicating a relationship between a plurality of calculation costs and a plurality of pieces of first input data.