Abstract: A method performed by an autonomous device includes identifying a current movement of an operator based on monitoring the operator of the autonomous device. The method also includes inferring an intended direction of travel for the autonomous device based identifying the current movement. The method further includes identifying one or more objects in a current environment and limitations of the current environment. The method still further includes determining the action to be performed based on inferring the intended direction of travel and also identifying the one or more objects and the limitations of the current environment. The method also includes performing, by the autonomous device, the action.

Abstract: The method can include: optionally providing a set of grasp tools; determining an object model for a grasp; determining a grasp contact configuration; and facilitating grasp execution with the set of grasp tools. However, the method S100 can additionally or alternatively include any other suitable elements. The method functions to facilitate non-destructive and/or stable object grasping (and/or object manipulation) using a set of grasp tools.

Abstract: The method can include: optionally providing a set of grasp tools; determining an object model for a grasp; determining a grasp contact configuration; and facilitating grasp execution with the set of grasp tools. However, the method S100 can additionally or alternatively include any other suitable elements. The method functions to facilitate non-destructive and/or stable object grasping (and/or object manipulation) using a set of grasp tools.

Abstract: The method can include: optionally providing a set of grasp tools; determining an object model for a grasp; determining a grasp contact configuration; and facilitating grasp execution with the set of grasp tools. However, the method S100 can additionally or alternatively include any other suitable elements. The method functions to facilitate non-destructive and/or stable object grasping (and/or object manipulation) using a set of grasp tools.

Abstract: A method performed by an autonomous device includes identifying a current movement of an operator based on monitoring the operator of the autonomous device. The method also includes inferring an intended direction of travel for the autonomous device based identifying the current movement. The method further includes identifying one or more objects in a current environment and limitations of the current environment. The method still further includes determining the action to be performed based on inferring the intended direction of travel and also identifying the one or more objects and the limitations of the current environment. The method also includes performing, by the autonomous device, the action.

Abstract: A method for controlling a robotic device includes monitor an action of an operator of the robotic device. The method also includes inferring an intended target based on the monitored action. The method further includes determining an intended action for the intended target. The method still further includes controlling the robotic device to perform the intended action.

Abstract: A teleoperation system includes a robot comprising an actuator configured to move at least a portion of the robot, and a remote computing device comprising: one or more processors, one or more sensors communicatively coupled to the one or more processors, a non-transitory memory component communicatively coupled to the one or more processors, and machine readable instructions stored in the non-transitory memory component. The remote computing device obtains information about a user proximate to the remote computing device, identifies the user based on the obtained information, obtains an action of a user, retrieves an individual profile for the user based on the identified user, determines an intended instruction related to a task based on the action of the user related to the task and the individual profile for the user, and instructs the robot to implement the task with the actuator based on the intended instruction.

Abstract: Systems and methods for optimizing the simulation of a robot in an environment are disclosed herein. The system includes an environment sensor configured to generate signals indicative of objects within the environment. The system further includes a computing device having a processor and a non-transitory computer-readable memory and a machine-readable instruction set stored in the non-transitory computer-readable memory.

Abstract: A method for operating an arrival notification system at a location includes receiving a request to generate a notification from an arrival notification system. The method also includes receiving, in response to the request, a token. The method further includes enabling an output from a component of the arrival notification system when the token is validated.

Abstract: Systems and methods for perception-based tactile sensing in a robot are provided. The robot may include an external portion and an illuminator that outputs illumination. The robot may further include a receiving sensor that receives illumination. The robot may also include a pair of conduits, located at an external portion, that include an injecting conduit that traverses one or more housings of the robot. The injecting conduit may be configured to receive the illumination from the illuminator and output the illumination to illuminate an object external to the robot. The pair of conduits may also include a receiving conduit, traversing one or more housings of the robot, configured to receive the illumination from the object external to the robot and output the illumination to the receiving sensor.

Abstract: A method for operating an arrival notification system at a location includes receiving a request to generate a notification from an arrival notification system. The method also includes receiving, in response to the request, a token. The method further includes enabling an output from a component of the arrival notification system when the token is validated.

Abstract: A robot is provided. The robot includes a main body, one or more wheels coupled to the main body, one or more elastic members coupled to the main body, a disc coupled to the one or more elastic members, and one or more sensors. The disc is configured to move relative to the main body in response to a force exerted against the disc. The one or more sensors may detect a dislocation of the disc relative to the main body in response to the force exerted against the disc.

Abstract: A non-backdrivable passive balancing system for a single-axle dynamically balanced robotic device includes a body that includes a distal end and a proximal end, a controller module, and an actuator communicatively coupled to the controller module of the single-axle dynamically balanced robotic device. The actuator receives an engagement signal from the controller module, the engagement signal corresponding to an indication that the dynamically balanced robotic device is stationary, and the actuator causes the linkage to move the body from a disengaged position to an engaged position such that the distal end of the body contacts a ground surface and supports the dynamically balanced robotic device in a substantially upright position.

Abstract: A method for operating an arrival notification system at a location includes receiving a request to generate a notification from an arrival notification system. The method also includes receiving, in response to the request, a token. The method further includes enabling an output from a component of the arrival notification system when the token is validated.

Abstract: A method for controlling a robotic device includes monitor an action of an operator of the robotic device. The method also includes inferring an intended target based on the monitored action. The method further includes determining an intended action for the intended target. The method still further includes controlling the robotic device to perform the intended action.

Abstract: A method for operating an arrival notification system at a location includes receiving a request to generate a notification from an arrival notification system. The method also includes receiving, in response to the request, a token. The method further includes enabling an output from a component of the arrival notification system when the token is validated.

Abstract: Systems and methods for perception-based tactile sensing in a robot are provided. The robot may include an external portion and an illuminator that outputs illumination. The robot may further include a receiving sensor that receives illumination. The robot may also include a pair of conduits, located at an external portion, that include an injecting conduit that traverses one or more housings of the robot. The injecting conduit may be configured to receive the illumination from the illuminator and output the illumination to illuminate an object external to the robot. The pair of conduits may also include a receiving conduit, traversing one or more housings of the robot, configured to receive the illumination from the object external to the robot and output the illumination to the receiving sensor.

Abstract: A teleoperation system includes a robot comprising an actuator configured to move at least a portion of the robot, and a remote computing device comprising: one or more processors, one or more sensors communicatively coupled to the one or more processors, a non-transitory memory component communicatively coupled to the one or more processors, and machine readable instructions stored in the non-transitory memory component. The remote computing device obtains information about a user proximate to the remote computing device, identifies the user based on the obtained information, obtains an action of a user, retrieves an individual profile for the user based on the identified user, determines an intended instruction related to a task based on the action of the user related to the task and the individual profile for the user, and instructs the robot to implement the task with the actuator based on the intended instruction.

Abstract: System, methods, and other embodiments described herein relate to improving persistent simulation of an environment. In one embodiment, a method includes capturing, using at least one sensor, state information about the environment that is proximate to a robotic device. The state information includes data about at least one object that is in the environment. The method includes generating a simulation of the environment according to at least a simulation model and characteristics of the at least one object identified from the state information. The simulation is a virtualization of the environment that characterizes the at least one object in relation to an inertial frame of the environment around the observing robotic device. The method includes predicting a subsequent state for the at least one object within the simulation based, at least in part, on the simulation model. The method includes providing the subsequent state as an electronic output.

Abstract: Systems and methods for optimizing the simulation of a robot in an environment are disclosed herein. The system includes an environment sensor configured to generate signals indicative of objects within the environment. The system further includes a computing device having a processor and a non-transitory computer-readable memory and a machine-readable instruction set stored in the non-transitory computer-readable memory.