Abstract: A cart-based workflow system includes: a robot operating in a facility; a server, the server operably connected to the robot, the server configured to do one or more of send the robot a cart transfer location usable for transferring the cart and instruct the robot to specify the cart transfer location; a graphic user interface (GUI) comprising a map of the facility, the GUI operably connected to the server, the GUI configured to do one or more of receive input from a human user and provide output to the human user, the GUI further configured to be usable by the user to coordinate movement of one or more of robots and carts.

Abstract: A method for computing a probability that an object comprises a target includes: performing a scan of an area comprising the object, generating points; creating a segment corresponding to the object using the points as segment points, the segment extending from a first segment point to a last segment point, the segment comprising a plurality of the segment points; and applying a metric, computing the probability that the object comprises the target.

Abstract: A system for facility monitoring and reporting to improve safety using one or more robots includes: a network; a plurality of autonomous mobile robots operating in a facility, the robots configured to monitor facility operation, the robots further configured to detect a predetermined critical condition, the robots operably connected to the network; a server operably connected to the robots over the network; and an individual robot operably connected to the server over the network, the individual robot operating in the facility, the robots not comprising the individual robot, the individual robot configured to monitor facility operation; wherein the robots are configured to regularly produce a regular report under normal operating conditions, the report displaying data received from the server, wherein the robots are further configured to produce to the server a critical condition report upon occurrence of the critical condition.

Abstract: A system for facility monitoring and reporting to improve safety using one or more robots includes: a network; a plurality of autonomous mobile robots operating in a facility, the robots configured to monitor facility operation, the robots further configured to detect a predetermined critical condition, the robots operably connected to the network; a server operably connected to the robots over the network; and an individual robot operably connected to the server over the network, the individual robot operating in the facility, the robots not comprising the individual robot, the individual robot configured to monitor facility operation; wherein the robots are configured to regularly produce a regular report under normal operating conditions, the report displaying data received from the server, wherein the robots are further configured to produce to the server a critical condition report upon occurrence of the critical condition.

Abstract: A system for facility monitoring and reporting to improve safety using one or more robots includes: a network; a plurality of autonomous mobile robots operating in a facility, the robots configured to monitor facility operation, the robots further configured to detect a predetermined critical condition, the robots operably connected to the network; a server operably connected to the robots over the network; and an individual robot operably connected to the server over the network, the individual robot operating in the facility, the robots not comprising the individual robot, the individual robot configured to monitor facility operation; wherein the robots are configured to regularly produce a regular report under normal operating conditions, the report displaying data received from the server, wherein the robots are further configured to produce to the server a critical condition report upon occurrence of the critical condition.

Abstract: A system includes: a cart including: four legs; at least one shelf, each shelf attached to each of the legs; the cart having a generally rectangular shape, a width of the cart being longer than a length of the robot, a length of the cart being longer than a length of the robot; four wheels, each wheel attached to a different leg at a bottom of the leg, the wheels configured to roll to facilitate movement of the cart; and a robotic dock, the robotic dock comprising four docking receptacles at ninety degree angles from adjacent docking receptacles; and a robot comprising: a sensor; and a docking module, the docking module comprising retractable docking pins, each retractable docking pin configured, when extended upward, to mate with a corresponding docking receptacle, thereby securing the robot to a bottom shelf of the cart.

Abstract: A system for facility monitoring and reporting to improve safety using one or more robots includes: a network; a plurality of autonomous mobile robots operating in a facility, the robots configured to monitor facility operation, the robots further configured to detect a predetermined critical condition, the robots operably connected to the network; a server operably connected to the robots over the network; and an individual robot operably connected to the server over the network, the individual robot operating in the facility, the robots not comprising the individual robot, the individual robot configured to monitor facility operation; wherein the robots are configured to regularly produce a regular report under normal operating conditions, the report displaying data received from the server, wherein the robots are further configured to produce to the server a critical condition report upon occurrence of the critical condition.

Abstract: A system for order fulfillment using one or more robots includes: a server configured to receive an order comprising an order item; inventory storage operably connected to the server, the inventory storage comprising order items; an actor robot operably connected to and selected by the server, the actor robot configured to perform one or more of picking the order item from inventory storage, moving the order item, and positioning the order item; and an order robot operably connected to the server, the order robot configured to collect the order item, wherein the order item is positioned by the actor robot so as to be accessible to the order robot, so as to perform order fulfillment using one or more robots.

Abstract: A system for automatically annotating a map includes: a robot; a server operably connected to the robot; file storage configured to store files, the file storage operably connected to the server; an annotations database operably connected to the server, the annotations database comprising map annotations; an automatic map annotation service operably connected to the server, the automatic map annotation service configured to automatically do one or more of create a map of an item of interest and annotate a map of an item of interest; a queue of annotation requests operably connected to the automatic annotation service; and a computer operably connected to the server, the computer comprising a graphic user interface (GUI) usable by a human user.

Abstract: A system includes: a cart including: four legs; at least one shelf, each shelf attached to each of the legs; the cart having a generally rectangular shape, a width of the cart being longer than a length of the robot, a length of the cart being longer than a length of the robot; four wheels, each wheel attached to a different leg at a bottom of the leg, the wheels configured to roll to facilitate movement of the cart; and a robotic dock, the robotic dock comprising four docking receptacles at ninety degree angles from adjacent docking receptacles; and a robot comprising: a sensor; and a docking module, the docking module comprising retractable docking pins, each retractable docking pin configured, when extended upward, to mate with a corresponding docking receptacle, thereby securing the robot to a bottom shelf of the cart.

Abstract: A robot management system includes: a server; a plurality of robots operably connected to the server over a network, at least one robot including a sensor; and a graphic user interface (GUI) operably connected to the server, the GUI configured to display a map of a facility comprising the plurality of robots, the map configured to receive from a user the user's instructions to manage the robot.

Abstract: A system for automatically annotating a map includes: a robot; a server operably connected to the robot; file storage configured to store files, the file storage operably connected to the server; an annotations database operably connected to the server, the annotations database comprising map annotations; an automatic map annotation service operably connected to the server, the automatic map annotation service configured to automatically do one or more of create a map of an item of interest and annotate a map of an item of interest; a queue of annotation requests operably connected to the automatic annotation service; and a computer operably connected to the server, the computer comprising a graphic user interface (GUI) usable by a human user.

Abstract: A system for automatically annotating a map includes: a robot; a server operably connected to the robot; file storage configured to store files, the file storage operably connected to the server; an annotations database operably connected to the server, the annotations database comprising map annotations; an automatic map annotation service operably connected to the server, the automatic map annotation service configured to automatically do one or more of create a map of an item of interest and annotate a map of an item of interest; a queue of annotation requests operably connected to the automatic annotation service; and a computer operably connected to the server, the computer comprising a graphic user interface (GUI) usable by a human user.

Abstract: A system includes: a cart including: four legs; at least one shelf, each shelf attached to each of the legs; the cart having a generally rectangular shape, a width of the cart being longer than a length of the robot, a length of the cart being longer than a length of the robot; four wheels, each wheel attached to a different leg at a bottom of the leg, the wheels configured to roll to facilitate movement of the cart; and a robotic dock, the robotic dock comprising four docking receptacles at ninety degree angles from adjacent docking receptacles; and a robot comprising: a sensor; and a docking module, the docking module comprising retractable docking pins, each retractable docking pin configured, when extended upward, to mate with a corresponding docking receptacle, thereby securing the robot to a bottom shelf of the cart.

Abstract: A system for semantically identifying one or more of an object of interest and a location of a mobile robot in an environment of the robot includes: a mobile robot comprising a sensor, the robot further comprising a computer, the robot operating in an environment; a server operably connected to the robot via a communication system, the server configured to manage the robot; a controller operably connected to the robot, the controller operably connected to the server, the controller configured to control the robot; and an object of interest marked with a marker at one or more of an approximate height and an approximate field of view of the sensor, the sensor generating data describing the object of interest, the computer configured to identify one or more of the object of interest and the location using one or more of a shape of the object of interest and an intensity of data describing the object of interest.

Abstract: A method for computing a probability that an object comprises a target includes: performing a scan of an area comprising the object, generating points; creating a segment corresponding to the object using the points as segment points, the segment extending from a first segment point to a last segment point, the segment comprising a plurality of the segment points; and applying a metric, computing the probability that the object comprises the target.

Abstract: A system using one or more robots to assist a human in order fulfillment includes: a server configured to receive an order comprising an order item; inventory storage operationally connected to the server, the inventory storage comprising inventory items; an order robot operationally connected to the server, the order robot configured to assist a human to pick an order item from the inventory items; and a human-operated device operably connected to one or more of the server, the inventory storage, and the order robot, the human-operated device configured to assist the human to pick the order item.

Abstract: A method for computing a probability that an object comprises a target includes: performing a scan of an area comprising the object, generating points; creating a segment corresponding to the object using the points as segment points, the segment extending from a first segment point to a last segment point, the segment comprising a plurality of the segment points; and applying a metric, computing the probability that the object comprises the target.

Abstract: A system using one or more robots to assist a human in order fulfillment includes: a server configured to receive an order comprising an order item; inventory storage operationally connected to the server, the inventory storage comprising inventory items; an order robot operationally connected to the server, the order robot configured to assist a human to pick an order item from the inventory items; and a human-operated device operably connected to one or more of the server, the inventory storage, and the order robot, the human-operated device configured to assist the human to pick the order item.

Abstract: A method for computing a probability that an object comprises a target includes: performing a scan of an area comprising the object, generating points; creating a segment corresponding to the object using the points as segment points, the segment extending from a first segment point to a last segment point, the segment comprising a plurality of the segment points; and applying a metric, computing the probability that the object comprises the target.