Leveraging spatial scanning data of autonomous robotic devices
Provided is a method, computer program product, and system for leveraging spatial scanning data of an environment collected by a robotic vacuum to generate recommendations for improving environmental conditions. A robotic vacuum may collect cleanliness data relative to an environment. The robotic vacuum may store the cleanliness data over a plurality of cleaning cycles. The robotic vacuum may analyze the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends. The robotic vacuum may generate a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends. The robotic vacuum may provide the recommendation to a user.
1. A system, comprising:
a robotic vacuum;
a processor; and
a computer-readable storage medium communicatively coupled to the processor and storing program instructions which, when executed by the processor, cause the processor to perform a method comprising:
collecting, by the robotic vacuum, cleanliness data relative to an environment;
storing the cleanliness data over a plurality of cleaning cycles;
analyzing the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends;
generating a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends; providing the recommendation to a user;
analyzing, using machine learning, current cleanliness data to determine a user action in response to receiving the recommendation;
determining the user has improved the environmental condition relative to the environment based on the user action; and
discarding cleanliness data collected prior to the user action from consideration for determining one or more subsequent cleanliness trends.
2. The system of claim 1 , wherein generating a recommendation for improving the environmental condition relative to the environment based on the identified one or more cleanliness trends further comprises:
identifying the user based on a user profile; and
correlating the recommendation with one or more preferences within the user profile.
3. A computer program product comprising a computer-readable storage medium having program instructions embodied therewith, wherein the computer-readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:
collecting, by a robotic vacuum, cleanliness data relative to an environment;
storing the cleanliness data over a plurality of cleaning cycles;
analyzing the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends;
generating a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends;
providing the recommendation to a user;
analyzing, using machine learning, current cleanliness data to determine a user action in response to receiving the recommendation;
determining the user has improved the environmental condition relative to the environment based on the user action; and
discarding cleanliness data collected prior to the user action from consideration for determining one or more subsequent cleanliness trends.
4. The computer program product of claim 3 , wherein generating a recommendation for improving the environmental condition relative to the environment based on the identified one or more cleanliness trends further comprises:
identifying the user based on a user profile; and
correlating the recommendation with one or more preferences within the user profile.
5. The computer program product of claim 3 , further comprising:
adjusting a threshold for generating the recommendation based on the user action.