Abstract: A method for controlling a robotic device includes observing a first object associated with an object type at one or more first locations in an environment over a period of time prior to a current time. The method also includes generating a probability distribution associated with the one or more first locations based on observing the first object over the period of time. The method further includes observing, at the current time, a second object associated with the object type at a second location in the environment. The method still further includes determining a probability of the second object being at the second location based on observing the second object at the second location. The probability is based on the probability distribution associated with the one or more first locations. The method also includes controlling the robotic device to perform an action based on the probability being less than a threshold.

Abstract: A method for controlling a robotic device includes observing a first object associated with an object type at one or more first locations in an environment over a period of time prior to a current time. The method also includes generating a probability distribution associated with the one or more first locations based on observing the first object over the period of time. The method further includes observing, at the current time, a second object associated with the object type at a second location in the environment. The method still further includes determining a probability of the second object being at the second location based on observing the second object at the second location. The probability is based on the probability distribution associated with the one or more first locations. The method also includes controlling the robotic device to perform an action based on the probability being less than a threshold.

Abstract: A method for controlling a robotic device based on observed object locations is presented. The method includes observing objects in an environment. The method also includes generating a probability distribution for locations of the observed objects. The method further includes controlling the robotic device to perform an action when an object is at a location in the environment with a location probability that is less than a threshold.

Abstract: Systems and methods for determining teleoperating user intent via eye tracking are provided. A method includes outputting, to a display of a gaze-tracking device utilized by a user, a representation of an environment of a robot. The method further includes receiving, from the gaze-tracking device, user gaze data corresponding to a gaze area subject to a gaze of the user within the representation. The method also includes determining a context based upon an object within the gaze area, an object type, and characteristics of the object. The method further includes receiving, via a user interface, a user input. The method also includes outputting, to the robot, a contextual command corresponding to the context and the user input.

Abstract: A method for controlling a robotic device based on observed object locations is presented. The method includes observing objects in an environment. The method also includes generating a probability distribution for locations of the observed objects. The method further includes controlling the robotic device to perform an action when an object is at a location in the environment with a location probability that is less than a threshold.

Abstract: Systems and methods for determining teleoperating user intent via eye tracking are provided. A method includes outputting, to a display of a gaze-tracking device utilized by a user, a representation of an environment of a robot. The method further includes receiving, from the gaze-tracking device, user gaze data corresponding to a gaze area subject to a gaze of the user within the representation. The method also includes determining a context based upon an object within the gaze area, an object type, and characteristics of the object. The method further includes receiving, via a user interface, a user input. The method also includes outputting, to the robot, a contextual command corresponding to the context and the user input.