Robot task optimization based on historical task and location correlated durations
Methods, apparatus, systems, and computer-readable media are provided for optimizing robot-implemented tasks based at least in part on historical task and location correlated duration data collected from one or more robots. Historical task and location correlated duration data may, in some implementations, include durations of different tasks performed in different locations by one or more robots in one or more particular environments, and knowledge of such durations may be used to optimize tasks performed by the same or different robots in the future.
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.
2. The method of claim 1 , wherein the recommendation indicates that a duration of the one or more robotic tasks is taking longer, in the given environment, than expected based on the other environments historical task and location correlated duration data.
3. The method of claim 2 , wherein the recommendation indicates a remediation for decreasing the duration.
4. The method of claim 3 , wherein the remediation is requesting removal of certain items from the given environment.
5. The method of claim 3 , wherein the normalizations, of the given environment historical task and location correlated duration data and the other environments historical task and location correlated duration data, compensate for room size variances.
6. The method of claim 3 , wherein the normalizations, of the given environment historical task and location correlated duration data and the other environments historical task and location correlated duration data, compensate for number of rooms variances.
7. An apparatus comprising:
memory storing instructions;
one or more processors operable to execute the instructions, stored in the memory, to cause the one or more processors to:
retrieve 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;
retrieve 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
generate, 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.
8. The apparatus of claim 7 , wherein the recommendation indicates that a duration of the one or more robotic tasks is taking longer, in the given environment, than expected based on the other environments historical task and location correlated duration data.
9. The apparatus of claim 8 , wherein the recommendation indicates a remediation for decreasing the duration.
10. The apparatus of claim 9 , wherein the remediation is requesting removal of certain items from the given environment.
11. The apparatus of claim 10 , wherein the normalizations, of the given environment historical task and location correlated duration data and the other environments historical task and location correlated duration data, compensate for room size variances.
12. The apparatus of claim 10 , wherein the normalizations, of the given environment historical task and location correlated duration data and the other environments historical task and location correlated duration data, compensate for number of rooms variances.