US 11,878,425 B1
Robot task optimization based on historical task and location correlated durations
Gregory Prisament, Palo Alto, CA (US); Laura Stoia, Mountain View, CA (US); Yuchen Wu, San Francisco, CA (US); and Alan Thompson, San Jose, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by GOOGLE LLC, Mountain View, CA (US)
Filed on Dec. 27, 2021, as Appl. No. 17/562,513.
Application 17/562,513 is a continuation of application No. 16/200,945, filed on Nov. 27, 2018, granted, now 11,235,464.
Application 16/200,945 is a continuation of application No. 15/177,321, filed on Jun. 8, 2016, granted, now 10,173,320, issued on Jan. 8, 2019.
Int. Cl. B25J 9/00 (2006.01); B25J 9/16 (2006.01); B25J 11/00 (2006.01)
CPC B25J 9/1664 (2013.01) [B25J 9/0003 (2013.01); B25J 11/0085 (2013.01); Y10S 901/01 (2013.01); Y10S 901/40 (2013.01); Y10S 901/41 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method performed by one or more processors, the method comprising:
retrieving given environment historical task and location correlated duration data, for a given environment, the given environment historical task and location correlated duration data being for one or more robotic tasks performed in the given environment;
retrieving other environments historical task and location correlated duration data, for other environments, the other environments historical task and location correlated duration data being for the one or more robotic tasks performed in the other environments; and
generating, based on analysis of normalizations of the given environment historical task and location correlated duration data and the other environments historical task and location correlated duration data, a recommendation for providing to a user of the given environment.