US 12,077,263 B2
Framework for controlling devices
Andrew Rossignol, Mountain View, CA (US); Ryan Heacock, Cupertino, CA (US); Nupur Garg, Cupertino, CA (US); and Barnaby John James, Campbell, CA (US)
Assigned to TidalX AI Inc., San Ramon, CA (US)
Filed by TidalX AI Inc., San Ramon, CA (US)
Filed on Jun. 14, 2021, as Appl. No. 17/347,452.
Prior Publication US 2022/0396339 A1, Dec. 15, 2022
Int. Cl. B63B 45/00 (2006.01); A01K 61/95 (2017.01); B63B 79/10 (2020.01); G05B 13/02 (2006.01)
CPC B63B 45/00 (2013.01) [A01K 61/95 (2017.01); B63B 79/10 (2020.01); G05B 13/028 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
training an anti-fish-startling model evaluation engine to output actions for accomplishing objectives while reducing a startling effect on nearby fish using training data that includes, for different, previously performed actions, (i) one or more sensed conditions associated with performing the different actions in an aquaculture environment, (ii) objectives associated with the different actions, and (iii) indications of whether nearby fish were startled when the different actions were previously performed;
determining a particular objective for a robot that is operating in the aquaculture environment;
determining one or more particular sensed conditions that are associated with the aquaculture environment;
providing the particular objective and the particular sensed conditions to the trained anti-fish-startling model evaluation engine;
receiving, from the trained anti-fish-startling model evaluation engine, one or more particular actions for accomplishing the particular objective while reducing the startling effect on nearby fish; and
transmitting the one or more particular actions to another device.