Knowledge partitioning for task execution by conversational tele-presence robots in a geographically separated environment

A tele-presence robot, comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• obtain a control command via an edge device from a master device associated with a user;
• parse the control command to determine a set of instructions and an associated task type to be executed;
• dynamically query information from a first storage device, a second storage device, a third storage device, and a fourth storage device, wherein
• the dynamically querying of the information is based on the determined set of instructions and the associated task type, wherein
• the information comprises at least one of navigation information and task execution information, and
• each of the first storage device, the second storage device, the third storage device, and the fourth storage device are sequentially queried further based on:
• a response that is obtained from at least one of the first storage device, the second storage device, the third storage device, and the fourth storage device,
• an amount of the information that is available in each of the first storage device, the second storage device, the third storage device and the fourth storage device,
• a priority flag set for each of the first storage device, the second storage device, the third storage device, and the fourth storage device, and
• the priority flag is set to each of the first storage device, the second storage device, the third storage device, and the fourth storage device, based on context of task execution of the associated task type and an environment in which the tele-presence robot is executing a given task of the associated task type;
• dynamically generate an execution plan based on the obtained response and executing the dynamically generated execution plan, wherein the dynamically generated execution plan comprises executing one or more sub tasks specific with the associated task type;
• upon the execution of the dynamically generated execution plan, validate the executed one or more sub tasks;
• and
• partition knowledge associated with the executed one or more sub tasks and storing the partitioned knowledge in at least one of the first storage device, the second storage device, the third storage device and the fourth storage device respectively for subsequent task execution, wherein the partitioning of the knowledge and the storing of the partitioned knowledge is based on:
• a critical value assigned to at least one of the first storage device, the second storage device, the third storage device, and the fourth storage device, wherein the critical value indicates level of the partitioned knowledge,
• a domain of the associated task type, and
• a flag variable assigned to each of the first storage device, the second storage device, the third storage device, and the fourth storage device, wherein the flag variable indicates a battery status of each of the first storage device, the second storage device, the third storage device, and the fourth storage device.

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause knowledge partitioning for task execution by conversational tele-presence robots in a geographically separated environment by:

• obtaining, via the one or more hardware processors of a tele-presence robot, a control command via an edge device from a master device associated with a user;
• parsing the control command to determine a set of instructions and an associated task type to be executed;
• dynamically querying, by the tele-presence robot, information from a first storage device, a second storage device, a third storage device and a fourth storage device, wherein
• the dynamically querying of the information is based on the determined set of instructions and the associated task type,
• the information comprises at least one of navigation information and task execution information, and
• each of the first storage device, the second storage device, the third storage device, and the fourth storage device are sequentially queried further based on:
• a response that is obtained from at least one of the first storage device, the second storage device, the third storage device, and the fourth storage device
• an amount of the information that is available in each of the first storage device, the second storage device, the third storage device, and the fourth storage device
• a priority flag set for each of the first storage device, the second storage device, the third storage device, and the fourth storage device, and
• the priority flag is set to each of the first storage device, the second storage device, the third storage device, and the fourth storage device, based on context of task execution of the associated task type and an environment in which the tele-presence robot is executing a given task of the associated task type;
• dynamically generating, by the tele-presence robot, an execution plan based on the obtained response and executing the dynamically generated execution plan thereof, wherein the step of the dynamically generated execution plan comprises executing one or more sub tasks specific with the associated task type;
• upon the execution of the dynamically generated execution plan, validating the executed one or more sub tasks;
• and
• partitioning knowledge associated with the one or more sub tasks and storing the partitioned knowledge in at least one of the first storage device, the second storage device, the third storage device, and the fourth storage device respectively for subsequent task execution, wherein the partitioning of the knowledge and the storing of the partitioned knowledge is based on:
• a critical value assigned to at least one of the first storage device, the second storage device, the third storage device, and the fourth storage device, wherein the critical value indicates level of the partitioned knowledge,
• a domain of the associated task type, and
• a flag variable assigned to each of the first storage device, the second storage device, the third storage device, and the fourth storage device, wherein the flag variable indicates a battery status of each of the first storage device, the second storage device, the third storage device, and the fourth storage device.