Centralized fleet management system for optimizing task assignment

A method comprising:

• receiving an indication of a task to be completed within an environment;
• determining one or more characteristics associated with completing the task;
• determining, based at least in part on the one or more characteristics, a fitness function among a plurality of fitness functions for selecting an agent to complete the task;
• identifying, within the environment, a robotic agent and a human agent capable of completing the task;
• receiving first data associated with first real-time capabilities of the robotic agent to complete the task;
• receiving second data associated with second real-time capabilities of the human agent to complete the task;
• determining, based at least in part on the first data, one or more first capabilities of the robotic agent and a first location of the robotic agent within the environment;
• determining, based at least in part on the second data, one or more second capabilities of the human agent and a second location of the human agent within the environment;
• selecting the robotic agent to complete the task based at least in part on the fitness function and at least one of the one or more first capabilities, the first location, the one or more second capabilities, or the second location;
• assigning the robotic agent to complete the task;
• generating an instruction for the robotic agent to complete the task;
• and
• sending the instruction to the robotic agent to complete the task, wherein the robotic agent includes one or more sensors to autonomously travel to a third location within the environment associated with the task.

A system comprising:

• one or more processors;
• and
• one or more non-transitory computer-readable media storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising:
• determining a first task to be completed within an environment;
• determining, among a plurality of agents within the environment and based at least in part on one or more first requirements associated with the first task:
• a first agent for completing the first task, the first agent representing an autonomous robot having one or more first capabilities;
• and
• a second agent for completing the first task, the second agent representing a human having one or more second capabilities;
• determining that the one or more first capabilities satisfy the one or more first requirements;
• selecting the first agent for completing the first task based at least in part on the one or more first capabilities satisfying the one or more first requirements;
• generating an instruction for the first agent to complete the first task, the instruction including:
• a first location associated with the first task;
• one or more first actions to perform at the first location;
• a second location associated with the first task;
• and
• one or more second actions to perform at the second location;
• sending the instruction to the first agent, wherein the first agent includes one or more sensors for (i) traveling to the first location and performing the one or more first actions and (ii) traveling to the second location and performing the one or more second actions;
• updating a database of tasks to be completed within the environment to indicate that the first agent is assigned to complete the first tasks;
• receiving data associated with the first agent performing the first task;
• and
• determining, based at least in part on the data, one or more second requirements to complete a second task, the second task being a same type of task as the first task.