Abstract: A method for controlling a robotic system includes determining a location and/or a pose of a power system component based on data received from one or more sensors, and determining a mapping of a location of a robotic system within a model of an external environment of the robotic system based on the data. The model of the external environment provides locations of objects external to the robotic system. A sequence of movements of components of the robotic system is determined to perform maintenance on the power system component based on the locations of the objects external to the robotic system and/or the location or pose of the power system component. One or more control signals are communicated to remotely control movement of the components of the robotic system based on the sequence or movements of the components to perform maintenance on the power system component.

Abstract: A robotic system includes a controller configured to obtain image data from one or more optical sensors and to determine one or more of a location and/or pose of a vehicle component based on the image data. The controller also is configured to determine a model of an external environment of the robotic system based on the image data and to determine tasks to be performed by components of the robotic system to perform maintenance on the vehicle component. The controller also is configured to assign the tasks to the components of the robotic system and to communicate control signals to the components of the robotic system to autonomously control the robotic system to perform the maintenance on the vehicle component.

Abstract: Modifying operation of an intelligent agent in response to facial expressions and/or emotions.

Abstract: A robotic system includes a controller configured to obtain image data from one or more optical sensors and to determine one or more of a location and/or pose of a vehicle component based on the image data. The controller also is configured to determine a model of an external environment of the robotic system based on the image data and to determine tasks to be performed by components of the robotic system to perform maintenance on the vehicle component. The controller also is configured to assign the tasks to the components of the robotic system and to communicate control signals to the components of the robotic system to autonomously control the robotic system to perform the maintenance on the vehicle component.

Abstract: Modifying operation of an intelligent agent in response to facial expressions and/or emotions.

Abstract: A robotic system includes a controller configured to obtain image data from one or more optical sensors and to determine one or more of a location and/or pose of a vehicle component based on the image data. The controller also is configured to determine a model of an external environment of the robotic system based on the image data and to determine tasks to be performed by components of the robotic system to perform maintenance on the vehicle component. The controller also is configured to assign the tasks to the components of the robotic system and to communicate control signals to the components of the robotic system to autonomously control the robotic system to perform the maintenance on the vehicle component.

Abstract: Modifying operation of an intelligent agent in response to facial expressions and/or emotions.

Abstract: Modifying operation of an intelligent agent in response to facial expressions and/or emotions.

Abstract: A robotic system includes a controller configured to obtain image data from one or more optical sensors and to determine one or more of a location and/or pose of a vehicle component based on the image data. The controller also is configured to determine a model of an external environment of the robotic system based on the image data and to determine tasks to be performed by components of the robotic system to perform maintenance on the vehicle component. The controller also is configured to assign the tasks to the components of the robotic system and to communicate control signals to the components of the robotic system to autonomously control the robotic system to perform the maintenance on the vehicle component.

Abstract: A robot system and method are provided that move an articulable arm relative to a target object. Perception information corresponding to a position of the arm relative to the target object is acquired. Movement of the arm is controlled based on the perception information. After movement of the arm, predicted position information representative of a predicted positioning of the arm is provided using the perception information and control signal information. The arm is subsequently controlled using the predicted position information.

Abstract: A manipulation platform includes a navigation system, manipulation arm, and one or more area sensors. The navigation unit locates a position of the manipulation platform, and a manipulation arm has a device or a collection sensor. The area sensors acquire data representative of at least a portion of an area in which the manipulation platform is located. Processors determine or predict a presence of an external object within a manipulation range of the manipulation arm using the data acquired by the one or more area sensors. The processors respond to a determination of the external body being, or being predicted to be, within the manipulation range by controlling one or more of the manipulation arm or the manipulation platform.

Abstract: A robot system and method are provided that move an articulable arm relative to a target object. Perception information corresponding to a position of the arm relative to the target object is acquired. Movement of the arm is controlled based on the perception information. After movement of the arm, predicted position information representative of a predicted positioning of the arm is provided using the perception information and control signal information. The arm is subsequently controlled using the predicted position information.

Abstract: There is provided a luminaire that includes a plurality of cameras supported by a member. One camera has a field of view overlapping the field of view of another camera.

Abstract: A robot system and method are provided that move an articulable arm relative to a target object. Perception information corresponding to a position of the arm relative to the target object is acquired at an acquisition rate. Movement of the arm is controlled at a control rate that is at least one of faster than or unsynchronized with the acquisition rate. Predicted position information representative of a predicted positioning of the arm is provided using the perception information. The arm is controlled using the perception information and the predicted position information.

Abstract: There is provided a luminaire that includes a plurality of cameras supported by a member. One camera has a field of view overlapping the field of view of another camera.

Abstract: A method and system that include an imaging device configured to capture image data of the vehicle. The vehicle includes one or more components of interest. The method and system include a memory device configured to store an image detection algorithm based on one or more image templates corresponding to the one or more components of interest. The method and system also includes an image processing unit operably coupled to the imaging device in the memory device. The image processing unit is configured to determine one or more shapes of interest of the image data using the image detection algorithm that correspond to the one or more components of interest, and determine one or more locations of the one or more shapes of interest respective to the vehicle.

Abstract: A manipulation platform includes a navigation system, manipulation arm, and one or more area sensors. The navigation unit locates a position of the manipulation platform, and a manipulation arm has a device or a collection sensor. The area sensors acquire data representative of at least a portion of an area in which the manipulation platform is located. Processors determine or predict a presence of an external object within a manipulation range of the manipulation arm using the data acquired by the one or more area sensors. The processors respond to a determination of the external body being, or being predicted to be, within the manipulation range by controlling one or more of the manipulation arm or the manipulation platform.

Abstract: A robot system and method are provided that move an articulable arm relative to a target object. Perception information corresponding to a position of the arm relative to the target object is acquired at an acquisition rate. Movement of the arm is controlled at a control rate that is at least one of faster than or unsynchronized with the acquisition rate. Predicted position information representative of a predicted positioning of the arm is provided using the perception information. The arm is controlled using the perception information and the predicted position information.

Abstract: A robot in one embodiment includes a navigation system, a manipulation unit, a visual recognition unit, and a processing unit. The visual recognition unit includes at least one detector configured to acquire presence information of humans within at least a portion of the area. The processing unit is operably coupled to the navigation system, manipulation unit, and visual recognition unit, and is configured to determine a presence of a human within at least one predetermined range of the robot using the presence information from the visual recognition unit, determine at least one control action responsive to determining the presence of the human within the at least one predetermined range, and control at least one of the navigation system or manipulation unit to implement the at least one control action.

Abstract: A method and system that include an imaging device configured to capture image data of the vehicle. The vehicle includes one or more components of interest. The method and system include a memory device configured to store an image detection algorithm based on one or more image templates corresponding to the one or more components of interest. The method and system also includes an image processing unit operably coupled to the imaging device in the memory device. The image processing unit is configured to determine one or more shapes of interest of the image data using the image detection algorithm that correspond to the one or more components of interest, and determine one or more locations of the one or more shapes of interest respective to the vehicle.